Falling tree limbs in Birmingham kills one person A Jefferson County man was sentenced to over 54 years in prison including 420 months for planning the shooting of a federal prosecutor and 212 months for the initial drug and gun charges previously filed by the U.S Attorney’s Office for the Northern District of Alabama Authorities said court records and trial evidence revealed that in February 2023 while 32-year-old Michael Roman Black was incarcerated in Hoover on federal charges he disclosed to a fellow inmate a plot to have a federal prosecutor assigned to his case shot and killed Authorities said Black detailed his intentions to enlist two associates outside of prison to carry out the shooting while the prosecutor was driving home in her car authorities said law enforcement verified its credibility and took swift action to disrupt the planned murder During subsequent questioning by federal agents authorities sad Black attempted to conceal his involvement by providing false information a federal jury in Birmingham found Black guilty on charges of threatening to murder and soliciting the murder of a federal prosecutor and for making false statements to a federal agent “Michael Black’s plot to target a federal prosecutor was not only an attempt to evade accountability for his crimes but it was also a brazen act of vengeance,” said Acting United States Attorney Davidson “Such conduct strikes at the heart of our judicial system and must be met with severe consequences I commend the investigators and prosecutors whose swift actions protected a life and ensured justice was served.” Black was sentenced after pleading guilty in January to several charges including the distribution of 50 grams or more of methamphetamine possession with intent to distribute 50 grams or more of methamphetamine and being a felon in possession of a firearm Black's criminal activities spanned from July 2021 to September 2022 a Bessemer police officer stopped Black's vehicle due to a switched tag The officer observed syringes in the driver's side door pocket two vacuum-sealed bags containing 892.6 grams of methamphetamine and 60 rounds of Blackout .300 caliber ammunition Black was found with $8,254 in cash and a plastic bag containing 12 hydrocodone pills authorities said Black sold 435 grams of pure methamphetamine to an undercover officer FBI agents and a task force officer arrested Black at a residence in Bessemer A search warrant led to the recovery of cocaine a Blackout .300 caliber rifle loaded with 100 rounds of ammunition an Anderson Manufacturing AM-15 rifle loaded with 100 rounds of ammunition Black was a convicted felon prohibited from owning or possessing firearms or ammunition “The attempt to orchestrate violence against a federal prosecutor is a grave assault on public safety and the principles of justice we rely upon,” said DEA Special Agent in Charge Steven Hofer “The DEA remains unwavering in its commitment to stand alongside the U.S Attorney’s Office to safeguard those who dedicate themselves to upholding the rule of law.” Michael Black is being held accountable for plotting to assassinate a federal prosecutor Today's sentence makes clear that those actions will not be tolerated,” said Christopher DiMenna “The FBI's partnership with Hoover Police Department Jefferson County's Sheriff's Office and DEA were critical in bringing Black to justice We will not stop our pursuit of criminals who threaten those who serve to uphold justice.” The Healthcare AI Adoption Index  Top takeaways The state of AI adoption today Experimentation but not yet production  The development strategy How startups can win  Introducing the AI Dx Index  How buyers can navigate the fast-evolving AI ecosystem Healthcare enters the era of AI co-development The healthcare industry has reached its AI inflection point a technological shift mirroring the earlier transition to electronic health records (EHRs)—but this time unfolding at warp speed The changeover from paper to electronic health records spanned more than a decade, aided by the HITECH Act of 2009 which paid incentives to doctors to adopt EHRs plagued by reticence to change and complex just two and a half years after LLMs became accessible to the masses with a wave of experimentation underway to reinvent care delivery in partnership with Amazon Web Services (AWS) and Bain & Company surveyed more than 400 leaders across Payer and Provider segments to understand how healthcare buyers are approaching GenAI applications—what jobs-to-be-done they prioritize and where their projects sit on the adoption curve today’s GenAI innovation isn’t just coming from healthcare AI applications but rather from inside healthcare organizations themselves Internal development teams are building their own tools by partnering with horizontal AI labs (i.e. or by procuring new solutions from incumbent systems of record and healthcare IT (HCIT) vendors and investors accurately assess where our industry is in the AI transformation curve and where the most significant areas for opportunity in the near term lie across nearly 60 jobs-to-be-done Healthcare organizations overwhelmingly see AI as a strategic priority—and they’re backing that belief with investment 95% of respondents said GenAI will be transformative with 85% of Provider and 83% of Payer leaders expecting it to reshape clinical decision-making within three to five years given the industry’s regulatory complexity and low tolerance for error 84% believe AI will impact clinical decisions 80% expect it to reduce labor costs through automation and many see the potential for revenue gains only 57% of Pharma executives believe AI will drive most new therapy discoveries in the next decade reflecting the complexity and long timelines of drug development Executives are putting real money behind their AI ambitions; the data shows that there’s an upfront investment to AI innovation and staying ahead of the curve compared to competitors means starting yesterday (We describe budgeting trends further below.) Still Only half of the organizations surveyed have a clear AI strategy 54% are already seeing meaningful ROI within the first year of GenAI implementation To understand where GenAI can deliver the most impact we surveyed executives on 59 key jobs-to-be-done across the healthcare value chain: We found that nearly half (45%) of the use cases across these jobs are still in the ideation or POC phase For a full description and breakdown of adoption levels of use cases across these three segments Providers are ahead in POC experimentation, while most Payer and Pharma use cases remain in the ideation phase. Unlike the EHR adoption wave of the last few decades Providers haven’t had the need for regulation or government payments to incentivize them to adopt AI AI-powered ambient scribes for clinical documentation illustrate this rapid adoption and another 40% are actively piloting solutions Many organizations are running dozens of GenAI POC projects at once but only 30% of completed POCs have made it into production Providers have the most projects making it into production among the segments we tracked and large Providers in particular are leading the charge with 46% of their POCs going to production So why are so many organizations stuck in the experimentation phase This wave of AI adoption has been driven by “test and learn” urgency with boards and CEOs pushing teams to discover possible use cases as they are early adopters with more resources to bring AI into production executives across all segments pointed to four main barriers to scaling AI: budgeting has yet to be a roadblock to GenAI experimentation 65% of AI projects are being funded through a centralized budget and 35% through departmental dollars the majority across each segment stated that budget was not a barrier to scaling AI projects from POC into production scale Healthcare systems and buyers know the urgency of AI and so budgets are being cleared for the sake of experimentation because of these strategic priorities and 56% Providers) are seeing GenAI budgets growing faster than general IT budgets controlling the purse strings and determining 70% of the decisions on AI use cases startups need to prioritize strategic relationships with the C-suite Many AI projects today are being developed in-house with horizontal AI labs and large tech partners While startups are no longer the only source of innovation healthcare AI entrepreneurs have the opportunity to reimagine how to work with buyers to serve emergent AI strategies Over half (54%) of executives we surveyed feel comfortable with and want to work with early-stage startups 48% prefer a more innovative startup over an established technology player and 55% of executives would only consider working with startups with proven track records Startups must rethink their go-to-market strategy as they build market traction and prove results with peer healthcare organizations—healthcare buyers want innovation but are still risk-averse It's the classic catch-22: You need social proof to sell but you can’t get social proof until you do Less than 15% of projects are currently being developed at and procured from startups as organizations believe they can build AI tools on their own or procure incremental AI features from incumbents 51% of Payer projects are being developed internally compared to 43% of Pharma projects and 27% of Provider projects Off-the-shelf models and horizontal automation platforms are great for creating simple minimum viable products (MVPs) and automated process improvements that don’t require consistent high accuracy can offer more applications that are specific (More best practices below in the “How to win” section.) We expect the failure rate of early-stage startups in this space to stabilize over time in turn helping more healthcare AI startups gain traction with buyers If you’re an entrepreneur building in healthcare here’s a hard pill to swallow: Buyers aren’t going to assume your tool is best-of-breed just because you’ve got some venture funding and an exciting pitch Only 32% of our survey respondents agreed that startups have best-of-breed GenAI solutions that are superior to those developed by large technology incumbents Startups are not just competing with other startups but with a full ecosystem that includes potential buyers’ internal teams incumbent systems of record like Epic and Veeva here’s how your AI application startup can stand out in this increasingly crowded field in healthcare Winning startups don’t just sell a point solution they land with a high-impact use case and then expand adding capabilities to adjacent processes upstream or downstream of the core workflow This enables a company to deepen touch points either by serving more needs of a particular user or by sitting at the intersection point between stakeholders (e.g. collaborations between internal teams or external parties To help AI startups prioritize healthcare use cases and current AI adoption to give startups a strategic edge when engaging healthcare buyers here’s how we position these use cases on the index: a use case moves to the right on the x-axis and its opportunity may shrink as the problem gets solved and manual work is reduced Let’s look at documentation support (like AI scribes) as an example This category has a high Adoption Score (53) because over 60% of organizations are already using it much of the manual work is already being automated so its Opportunity Score is now in the medium range (43) Sellers and buyers will view the 2x2 chart differently Entrepreneurs and investors should focus on the top left where high Opportunity Scores overlap with early AI adoption will gravitate toward the middle or top right where solutions show traction—unless they’re open to co-developing early-stage projects prioritize use cases where you can access unique data and align with the appropriate budget owner Also consider how mission-critical the process is—these high-impact areas offer significant opportunity but come with higher stakes and slower adoption Review slides below to see how each of the jobs-to-be-done surveyed score on the three components of the AI Dx Index The best way to move beyond a POC is to show clear impact which can start with case studies from similar environments or even other departments within the buyer’s organization Our research states the most compelling startups and organizations assess and measure ROI ahead of a POC or pilot by: startups must demonstrate both financial and non-financial impact We discovered that buyers expect fast results with 60% of respondents across segments expecting to see positive ROI in under 12 months And the onus will be on the startup to acknowledge its customer’s investment of time and resources—75% of survey respondents say startups fail to recognize the real cost of a POC startups must also get ahead of scaling challenges—like data governance and integration—by involving key stakeholders early We learned in this survey that a whopping 64% of buyers are willing to co-develop solutions with startups “Co-development” in this context might look like embedding sales engineers and developers into the selling process But how should startups shift from traditional healthcare go-to-market cycles to co-development without becoming glorified custom software development shops Enterprise healthcare buyers expect to have some level of control and ride shotgun with companies To avoid the churn common in AI services startups should position their product as a reimagined end-to-end workflow that evolves with customer needs highlighting domain expertise over technical novelty Startups can build defensibility by investing in deep integrations with related software—especially when their solution connects multiple systems and handles novel data sources beyond a single record system and set startups apart from incumbents limited to adding features within existing platforms We believe that within a year or two many internally built POCs will struggle to scale or deliver reliable accuracy which will then prompt a shift toward proven solutions While it’s easy to stitch together off-the-shelf models to build an MVP sustaining 99% accuracy at scale is far harder the less effective horizontal tools become there’s still low-hanging fruit in single-step workflows ripe for general automation high-accuracy use cases and pair them with a seamless many face internal resistance from colleagues wary of disruption Our survey revealed key barriers to full deployment: lack of in-house expertise Startups should position their tools as empowering—not replacing—teams Traditional healthcare software vendors have captured only a fraction of the value they create: Software makes up just <5% of healthcare administrative spend limited by IT budgets and point-solution sales (aside from systems of record) GenAI offers a more scalable way to tap into the remaining 80–90% The AI wave gives founders a real opportunity to align pricing and business models with the value they deliver which allows you to get compensated for the work you provide Aligning your model to the value you create underscores the importance of measuring clear we hope AI-first companies can tap into opex budgets—especially since funding isn’t a barrier when ROI is well-defined and continuously proven If you’re a healthcare executive reading this you have likely been inundated by AI pitches given the rapid pace of innovation similar to the majority of our survey respondents you are likely under pressure to drive AI progress through managing dozens of projects and POCs We’ve developed a shortlist of principles to navigate common challenges leveraging insights from our report partner Bain & Company which advises hundreds of healthcare clients on AI strategy success with AI requires behavioral change—especially in large organizations While large companies have the resources to invest they’re also held back by bureaucracy and legacy processes And AI’s potential to disrupt workflows can spark fear Prime your organization for the potentially massive value that can be created and have strong change management plans in place to help drive adoption of new technology the CTO of a large health system we surveyed said it well: Storytelling rather than imposition of a new technology is required by AI champions to bring stakeholders across their business onboard Leaders can help establish the willingness to experiment and mid-level employees can showcase the benefits of AI-powered tools to their colleagues to help drive adoption Moving quickly and adapting as necessary is the name of the game This involves collaborating with a range of different stakeholders from foundational tech partners to agile startup partners building all tools internally is unlikely to be a winning strategy for most organizations It is also critical to be nimble and adaptive yourself We know this can be especially tough for large organizations Success depends on having a flexible strategy with clear priorities not every AI project will succeed—many internal efforts and startups will fail Watch how your peers are partnering and use those case studies to guide your own decisions Ecosystem partners can also help to make your governance and cybersecurity AI-ready while enforcing responsible AI policies We know you’re feeling urgency (and you should be!) but don’t forget we are still very early in the AI journey which will take us from today’s chatbots to AI systems that will one day be able to run organizations Get ahead of your competitors by developing technology where differentiation matters adopting tools across your organization and maximizing the value of your unique AI is no longer a distant promise in healthcare and beginning to reshape how care is diagnosed healthcare organizations aren’t simply buying AI—they’re building it often in partnership with horizontal AI labs they’re bypassing traditional IT budgets and vendors tapping into services spend as AI becomes core to workforce productivity and operational performance many health systems are now running dozens of pilots at once whether startup-led or internally-developed Our AI Dx Index is designed to help founders and healthcare buyers identify the most promising use cases—those with the greatest pain points we expect these scores to evolve as more projects move from ideation to implementation and as the gap between hype and real value narrows The results of this research highlights healthcare’s inflection point Reach out to steve@bvp.com or sguerra@bvp.com—we’re ready to continue the conversation An official website of the United States government Our outpatient clinic provides primary care and specialty health services and the other health services we offer at our Bessemer VA Clinic Select a service on this page to check the hours Wheelchair availability:  Wheelchairs are available upon arrival for patients who need them to access the building We work with Disabled American Veterans and county Veterans Affairs directors to provide transportation for Veterans and authorized caregivers to get to scheduled medical appointments Many localities in the region provide other van services to Veterans Learn more about DAV and the other van services available in your county Beneficiary travel benefits include round-trip transportation from your home to the medical center Find out if you qualify for beneficiary travel benefits Our laboratories provide a full range of clinical and diagnostic testing services Our laboratory and pathology services include: Our medical center and clinics provide consultation and treatment for a range of issues that may impact your mental health or emotional well-being Our confidential outpatient services include individual and group therapy for: Learn more and connect with a care coordinator My HealtheVet is a web-based tool you can use to manage your care and improve your health from your computer or mobile device You can access your personal health records and use tools to manage your care through our My HealtheVet online system You can also use My HealtheVet to refill your prescriptions you can contact our coordinator by phone or in person Learn more and register for My HealtheVet Our optometrists provide many eye-related services and treatments like: Our pharmacy provides you and other Veterans with convenient efficient service to make it easy to get your medications and medical supplies Learn more about our pharmacy Your VA primary care provider will work closely with you to plan for all the care you need to stay healthy and well throughout your life, including immunizations and vaccinations. They will also work with family members or caregivers who support you. A strong network of family and internal medicine specialists and services can offer you the best possible care. Internal medicine doctors (internists) prevent, diagnose, and treat adult diseases. Doctors who specialize in family medicine provide primary health care to the entire family. Your primary care team can coordinate the many services you receive such as: Reporting by Ashwin Manikandan in New Delhi and Haripriya Suresh in Bengaluru; Editing by Eileen Soreng Our Standards: The Thomson Reuters Trust Principles., opens new tab Haripriya reports on India’s $254-billion Indian information technology (IT) industry, the country’s burgeoning GCCs, as well as new-age startups. With seven years of experience, she has previously reported on politics, civic issues, crime, and breaking news in south India, and tracked the country’s gig economy. She has a degree in Media Studies with a specialisation in journalism from the Symbiosis Centre for Media and Communication. , opens new tab Browse an unrivalled portfolio of real-time and historical market data and insights from worldwide sources and experts. , opens new tabScreen for heightened risk individual and entities globally to help uncover hidden risks in business relationships and human networks. © 2025 Reuters. All rights reserved By WBRC Digital StaffPublished: May. 3, 2025 at 9:07 AM CDT|Updated: May. 3, 2025 at 10:35 PM CDTEmail This LinkShare on FacebookShare on X (formerly Twitter)Share on PinterestShare on LinkedInBESSEMER, Ala. (WBRC) - A 47-year-old Bessemer man has been sentenced for his role in an elder fraud scheme Escalona says Terrance Alonzo Pruitt executed a Power of Attorney over an elderly family member with dementia without the victim’s knowledge or permission Escalona says Pruitt planned a scheme to defraud the victim by becoming a joint account holder on the victim’s bank accounts changing the address on the victim’s bank accounts from the victim’s address to his address removing two payable on death (POD) beneficiaries from one of the accounts and adding two POD beneficiaries to another account then transferred $550,000 in funds from the victim’s accounts to his personal bank accounts Escalona says Pruitt used some of these funds for his own personal benefit and moved $500,000 to a new bank account and did not include the victim on the account In December 2024, Pruitt was convicted by a jury of two counts of wire fraud District Court Judge Anna Manasco sentenced Pruitt to 50 months in prison was increased because he received an enhancement for obstruction of justice after Pruitt committed perjury when he testified in his own defense at trial Rummage and Brett Janich prosecuted the case If you or someone you know has been a victim of financial fraud contact the National Elder Fraud Hotline at 1-833-FRAUD-11 (1-833-372-8311) Click or tap here for information about elder justice efforts Get news alerts in the Apple App Store and Google Play Store or subscribe to our email newsletter here. Armstrong Williams takes on the news of the week and asks the questions you want answered. Don’t miss our weekly town hall. General AlertABC 33/40   See MoreFalling tree limbs in Birmingham kills one person (WBMA) — The Bessemer City Council has paused a zoning request that would have paved the way for a proposed data center The item was moved from the agenda without discussion or a vote at Tuesday's council meeting "The fact that they removed it from the agenda means they know there's controlled opposition and they aren't going to be able to ram this through," said Ron Morgan "I think it was the biggest victory we could imagine it's the answer to a lot of people's prayers But it doesn't surprise us because there's so much evidence that says it should not be done at this place." This comes as new legal challenge has been filed against a controversial data center project in Bessemer with court documents submitted Monday requesting a temporary restraining order and preliminary injunction to immediately halt the project made by three neighbors living near the proposed site argues that the project would disrupt the area and threaten ecologically sensitive land including Little Blue Creek and Five Mile Creek They claim the project poses a threat to the habitat of endangered species such as the watercress darter and could impact the federally protected bald eagle "You have a community threatened by an enormous data center and they know very little information about the proposal impact on the environment," said Attorney Reginald McDaniel "We're in this for the long haul so we expect to sling our rock and slay the giant." and alleges that the city failed to provide proper notice to residents about the zoning change It also raises concerns about transparency pointing to a non-disclosure agreement signed by the mayor and other city officials and claims that not all members of the public were allowed to speak before the city's planning and zoning commission voted to recommend the project to council Mayor Kenneth Gulley defended the practice "Every time I've approved projects for the city and I understand when it comes to a community but I took a sworn office to do what I'm supposed to do for the City of Bessemer I don't mind talking to anyone about anything that applies to a project I cannot discuss the specifics," he stated When ABC 33/40 I-Team reporter Valerie Bell asked what he would say to people who have questions and concerns who don't feel like they are getting answers "Well nobody has reached out to me concerning that but at the appropriate time we will answer all the questions and stuff they choose but we also recognize that God makes no new ground It's going to be developed at some particular point We just have to make sure we do what is necessary to preserve the integrity of the community as best we can." I'm all for them having a data center or put it in an industrial center already zoned for data centers don't put it into one of the most pristine ecological environments left in Jefferson County just because you don't want it in your downtown," he said "We'll take a look at the complaint and go forth from there." He added "I took a sworn office to do what is in the best interest of the city of Bessemer." Opponents of the data center remain determined "The city needs to understand this isn't just a cash cow they are going to gleam they are going to be spending money in the future for healthcare costs for residents impacted by these things," said Morgan "We as a community are determined to move forward from here today and fight the battles that are going to come and they are going to come because there's going to be a massive resistance from the city against this." Bessemer’s AI agent autonomy scale The definition of an agent  The five criteria  Our autonomy scale for the AI agent workforce Agentic workforces are coming  while there’s constant bandying about the term “agent,” there doesn’t seem to be a clear consensus from those in the AI ecosystem on what this term actually means We’ve seen everything from prompt-driven chatbots to workflow orchestrators referred to as agentic systems Technical builders gravitate toward Sutton and Barto’s proposed definition where agents are systems that “have explicit goals and can choose actions to influence their environments.” But this classic reinforcement learning definition often feels unsatisfactory to applied AI practitioners since it doesn’t fully capture the nuances that are fundamental for an AI agent to be useful in a real-world setting— including reliability we’re often asked to provide a perspective on which industries or functions have already deployed or soon will deploy AI agents at scale This led us to develop a framework—inspired by methods from the self-driving car industry—to help us compare the state of AI agent readiness across industries as well as within a vertical by looking at the maturity of use cases We don’t believe manually-controlled AI systems (such as prompting or low-code no-code automations) demonstrate the criteria to be considered agents For example: A developer prompts an LLM to generate code using a chat interface Agents need to display intelligence in order to truly provide guarantees of reliability allowing agents to reason over context and self-review just as a human would review their own work before submitting chain-of-thought provides visibility and traceability for humans to monitor “correctness.” We expect that foundation models will increasingly subsume the chain-of-thought reasoning we see today in agentic applications we expect that chain-of-thought will still be required at the application level to provide more control and visibility of the intermediate steps For example: AI has a sense of contextual cues so that it can provide better code suggestions with logic traceability It also critiques itself to improve its coding ability over time The distinction at this level is that the AI can not only provide relevant information but it can also digest information accurately and perceive its environment to propose actions a human-in-the-loop is still the pilot and the agent requires manual review of its proposal and/or need authorization from a human to operationalize actions For example: Code co-pilot can generate code completion suggestions within the integrated development environment (IDE) but the developer needs to deploy the code and/or a human manager needs to approve the code agent to push changes directly into the repository AI agent has authority and entitlement to operational systems so that it can complete tasks autonomously with strong guarantees of reliability For example: Code agents can generate code and make changes directly and correctly to a code base without a human manager to review Fully autonomous AI employees can set and meet goals by understanding their environment and navigating complex They can complete tasks they’ve never seen before For example: AI agents fully act as software engineers Agents can interact and collaborate successfully by sharing context and executing tasks in concert to achieve a common goal For example: AI agents perform like a software engineer SWAT team but now agents can recruit and assess other AIs For example: AI engineering manager or AI product manager coordinating and critiquing other AIs for a feature launch The potential for AI to function as full employees and even teams of employees is vast. But it doesn’t end there. Beyond the L6 frontier, we like to draw upon Marvin Minsky’s ’society of mind’ theory to understand the unlimited potential for economically viable work to be transformed as AI agents transcend individuals or teams and begin organizing themselves into scaled hives and even full companies: but rather a ‘society’ of simpler processes—called ‘agents’—working together to create what we experience as thought In time, we believe that AI will improve and even automate every information job done by human beings, including ours as investors. This will bring massive transformation both on the enterprise and customer side, not just fulfilling AI’s productivity promise by enabling humans to be more efficient at work but possibly causing an evolution of the workforce toward an agentic majority If you’re not sold on the imminent possibilities of artificial intelligence, we’d invite you to consider that this might be an illusion We believe that innovation is a borderless endeavor and as a globally integrated firm we back great founders wherever they are building Bessemer opened its doors in Bangalore nearly two decades ago to be at the epicenter of innovation taking shape in India Our enthusiasm has only grown stronger with time we are announcing our second dedicated India fund with $350 million of capital to support founders in the region at the earliest stages and beyond With our second fund, we will continue backing early-stage founders building across AI-enabled services and SaaS, fintech, digital health, consumer brands and cybersecurity. Partners Vishal Gupta and Anant Vidur Puri and their team are at the helm of this investment strategy and continue to discover and invest in India’s most promising entrepreneurs long-term partners for our portfolio leaders more than 80% of our investments in India have been Series A or earlier — companies we’ve continued to support as they navigate each phase of growth several of our companies have scaled to exceed $1 billion valuations Perfios and Livspace — and we’ve proudly seen nine of our portfolio companies IPO It is an exciting and unique time for entrepreneurship in India and we’re eager to partner with the most talented founders applying AI advancements and technical innovation to India’s services economy India-specific market needs within fintech and insurance Our approach to-date has led us to investing in more than 80 startups in India, including investments from our first India fund, such as Boldfit, MoveInSync, Pepper Content, Shopdeck, Vetic, Zopper, and more. We’re incredibly fortunate to have partnered with audacious entrepreneurs and accompanied them on their journey from the seedling of an idea to building enduring companies, and we are thrilled by the vast opportunities ahead for current and future founders building in India. (WBMA) — A proposed 700-acre data center in Jefferson County is facing strong opposition from local residents located near Rock Mountain Lake Road in Bessemer would require a zoning change from agricultural to industrial to accommodate the development who lives within 500 feet of the proposed site expressed his concerns about the impact on his quality of life Our quality of life would go in the toilet I don't want to live around an industrial park," said Morgan The site would be located behind the home he has lived in for more than 40 years we're talking about natural water sheds we're talking about little blue creek runs through it We're talking about a habitat for deer and other residents were planning to voice their opposition to the zoning change at a Planning and Zoning Commission meeting being held Tuesday at Bessemer City Hall with additional people standing around the room and in the hallway "Have you thought about the impact of the animals in the area you're going to damage from that," one woman said to the planning and zoning commission The applicant requesting the zoning change is Logistic Land Investments LLC who promised high paying and high quality jobs environmental and noise studies would be done to ensure no impact "What we are saying is that we have no choice but to adhere to the noise ordinance and we're here to tell you we have to do that and of course will do that and well do it in a way to ensure you see studies before we build." The planning and zoning commission voted in 4-2 to approve the recommendation Now the item will be sent to city council for the final decision ABC 33/40 reached out to Mayor Kenneth Gulley for more information his Chief of Staff stated that he and the mayor ABC 33/40 is still awaiting a response on how residents can be accurately informed about developments in their community given the city's current inability to discuss the proposal AI companies commercializing frontier research and reshaping industries require both technical depth and practical wisdom helping founders bridge the gap between theory and deployment is what makes investing compelling Lance will apply his extensive background in applied artificial intelligence and machine learning (AI/ML) toward conducting technical due diligence on early-stage AI opportunities and on supporting founders across the portfolio who are building in an applied setting "My journey from academic computer science to building AI systems at X the Moonshot Factory (formerly Google X) and early-stage startups showed me that the hardest challenges often lie in implementation," says Lance "The current wave of AI innovation isn't just about breakthrough algorithms – it's about understanding how to make them work as usable That's where I believe I can add the most value to founders." Lance brings a builder's mentality to venture capital having founded multiple companies including a sports analytics firm and a subscription optimization platform His hands-on experience spans from bootstrapped startups to Google's most ambitious moonshot projects The intersection of academic rigor and builder pragmatism has defined Lance's career He has led AI early stage projects at Alphabet working on AI drug discovery and computer vision As one of the first engineers at contact center AI platform Cresta he helped build language models for contact centers long before the current LLM revolution he pioneered the company's early machine learning efforts recognizing the potential of deep learning before it entered mainstream consciousness Lance received both his master's and bachelor's degrees from Duke University focusing on Computer Science (CS) and Electrical Engineering (EE) He pursued additional graduate-level coursework in Applied Mathematics (ICME) at Stanford and remains connected to the university’s AI network “Lance has emerged as a valuable thought leader on AI entrepreneurship as a Bessemer Operating Advisor,” says David Cowan “Entrepreneurs appreciate learning from his proximity to leading research settings and keen ability to incorporate the latest science into product-led growth strategies.” “Even in today’s hyper-competitive AI startup market companies won’t win on profound algorithmic breakthroughs alone,” Lance said but the ‘potatoes and vegetables’ are still crucially important,” he added “Early-stage AI founders need to remember that all the rules of building a viable software business still apply—like talking with real users and developing a go-to-market (GTM) strategy with a self-serve motion and compelling marketing I look forward to partnering with entrepreneurs in the Bessemer portfolio on building the next generation of great AI companies.” (WBMA) — Michael Turner was named Bessemer City Schools interim superintendent Tuesday who accepted the superintendent position at Gonzales Independent School District March 11 Turner is currently the principal at Pinson Valley High School According to his biography on the school's website Turner is entering his 26th year as a professional educator with 18 years of experience as a school administrator He previously served as a high school teacher and coach Turner is now in his 10th year as principal at Pinson Valley High School "Untraditionally appointed to this position but I ask that each one of you give me the opportunity to prove that this is the right job for me and i'm definitely I'm gonna come to work and I'm gonna work when I get here," said Turner The district is currently under state intervention and the State Board of Education has outlined the process for appointing a new superintendent Arreola all the best but continues to move forward with the business at hand in the school system they'll continue to resolve the issues within the school system." "I know that there are challenges in all education regardless of where you are in the state of Alabama but I'm here committed that's what I'm about," said Turner Turner said he has been in education since 1995 The $1M ARR playbook  Calculate the path  Win your first customers Create a sales strategy Three tips for enterprise selling Tailor what’s right for your startup Five unique tactics for effective selling Understand the ROI of your first sales hire Find a fractional revenue leader Build to scale Video with our experts Going from $0 to $1 million in annual recurring revenue (ARR) marks your transition from an idea to a revenue-generating business It signals you are now on the path to product-market fit It’s also one of the metrics that can help you get Series A funding we share the sales strategies and tactics to help entrepreneurs reach their first seven figures in ARR The number of customers required to reach a revenue milestone is inherently tied to both the nature of your product and your target market targeting enterprise clients typically means fewer deals—perhaps as few as five—because the higher contract values allow you to hit your goals more quickly reaching the same revenue target in the SMB segment could require several hundred customers it’s crucial to define your target average Annual Contract Value (ACV) This figure not only helps you estimate how many customers are needed to reach your revenue targets but it also informs the overall strategy for acquiring those customers Higher ACVs often necessitate a more personalized whereas lower ACVs may allow for a more scalable Driving your first dollar of revenue begins with what we call “founder-led sales.” Translation you’ll hire someone and find a repeatable model to build out your team-led sales approach you’ll likely need to hire a few salespeople to hit your $1 million ARR goal Paul advises founders to drive the first twenty or so customers “You’ve just sold 20% of your company to a venture capitalist for X million Tony reminds entrepreneurs not to count sales made to former colleagues or those with strong existing relationships as accurate indicators of success “Part of mastering founder-led sales is understanding what the experience will be like for your first sales hires—who typically won’t have pre-existing relationships with prospective clients.” “Founders should be closing deals at the early stage and at least one deal with a total skeptic,” says Kate “Relying on familiar connections can create false signals of product-market fit since these buyers already trust you founders should leverage every possible avenue to generate early revenue as it’s a crucial part of the learning process Just ensure that a significant percentage of your first 10-20 customers come from cold outreach.” Selling on your own teaches you a lot about your customers You’ll gain direct insight into their pain points This feedback can refine your ideal customer profile It’s also useful when you hire your first salespeople giving you a sense of what’s achievable and allowing you to set realistic targets and expectations for them sales is less about a perfect product and more about your vision Many early customers are buying into your vision So they need to hear the passion and belief directly from you They need to trust that you’ll deliver on what you’re promising might not be able to sell your vision with the same conviction “There’s no better salesperson at any company than the founder to talk about why they founded the company and their vision This is true no matter how many millions or billions of dollars in revenue you have,” says Kate Prospects also treat founders differently than reps and are less likely to raise their defenses when speaking to them You don’t need a hundred-page sales strategy document or to have every detail figured out from the start agile plan that reflects how you can support customers at every stage — from the first interaction through post-sale “Be customer-obsessed when designing your sales process Think beyond just getting a signature and consider the entire sales cycle when deciding who to hire and how to structure your process,” says Kate Focus your sales strategy document on three key areas: you likely have a sense of your target market “Make your ideal customer profile uncomfortably narrow — so narrow it almost feels too small,” Paul says Who are the key decision-makers in your deal What nuances to the problem you solve do they experience These two questions are critical during discovery calls your messaging should be focused on the persona every conversation is an opportunity to further refine your outreach approach and messaging And even if your product has broad applications focus on one ideal customer profile at a time Perfect serving them and then build a repeatable process before targeting others Tony recalls his experience at an early-stage data integration company While they could integrate any data into apps they found early success with a medical client using the health insurance portability and accountability act (HIPAA) standards Then they focused 80% of their efforts on similar customers leveraging the HIPAA use case to build credibility and refine messaging they expanded to a second use case in the mortgage industry based on the mortgage industry standards maintenance organization (MISMO) you’ll build repeatability in your selling process,” he says Note: Your ICP may evolve or become the wrong fit simply adjust your sales strategy to match your evolving audience Should you choose a self-serve product-led growth (PLG) approach or direct sales? Or sell via channel partners or marketplaces/platforms It depends on your product and target audience “What's your product and how do people want to buy that?” If your product is easy to use, has a low entry barrier, and appeals to self-motivated users, PLG might be the best approach. For example, if you’re a developer-centric company, such as Twilio as developers often prefer engaging directly with the product over interacting with sales reps you might need a direct sales model with a more hands-on approach to guide prospects You can also leverage channel partners to distribute your product Kate shares how Stripe’s partnership with Shopify Pay helped them reach a broader market and scale “We had a maniacal focus on tech-forward developers who could integrate payments and some of those developers turned out to work at companies that brought us enormous scale,” she says companies fall into one of three sales motion categories: small meaning you’ll need fewer deals to hit your $1 million goal While it’s possible to have product-market fit across all three motions Paul advises not to operate across them simultaneously “They're so dramatically different with different skill sets Trying to do three at the same time is really hard,” he says However, if you decide to target multiple segments, keep in mind that each requires distinct resources to close and deploy deals so have clear internal discussions about what it will take to acquire and serve these customers,” Kate says your sales motion should align with your buyers and the value your product brings Selling to enterprise companies gets you to the $1M ARR goal fast Paul highlights the revenue concentration problem Enterprise deals are often worth hundreds of thousands of dollars so losing one or two can significantly impact your revenue enterprise customers have high expectations for the product This can extend development timelines and delay revenue generation enterprises often expect to co-develop your product and may request changes or features But these requests can disrupt your original roadmap and strategy It doesn’t mean you should never do work outside of your core roadmap Tony suggests making an exception if the work can bring significant publicity or recognition but it helps secure the logo and a million-dollar deal Don’t go beyond your core roadmap unless the company is willing to publicly support you through logos You don’t want to end up with secret enterprise deals you can’t talk to anyone about as that makes scaling much harder,” Tony says He also recommends working only with enterprise companies that are leaders in their category These companies can unlock opportunities with other enterprises in the market he advises against pursuing enterprise customers for two main reasons: it’s a risky decision for early stage startups and teams simply won’t learn as fast since enterprise cycles are long and costly avoid targeting enterprises at first,” he says “Focus on the mid-market and build up until your product matures Many founders look to sales playbooks for guidance but the reality is that what works for one startup may not yield the same results for another The key to successful selling is aligning your sales strategy with the tangible value your product delivers Once a founder understands who their product serves and the specific problem it solves the next step is outbound selling—finding the right buyers and budget holders who are willing to pay to make their pain go away If you're a founder and you don’t know exactly where to start with outbound selling here are the acquisition tips our experts shared Paul recommends that founders take a narrow and deep approach to prospecting “Don't prospect into too many accounts at the same time Most buyers have a strong aversion to mass outreach or generic automated sequences,” he explains “Every company has a secret door—you just need to find it by being smart and tactical,” Paul advises “You won’t uncover it by throwing 500 people into a 35-step automated sequence.” By focusing on quality over quantity founders can build meaningful relationships There’s a reason YC startups sell their software to other YC startups—it’s the same reason early-stage companies forge partnerships with venture capital firms to access their portfolio networks Network selling is a powerful go-to-market (GTM) strategy that leverages existing relationships and strategic partnerships to accelerate sales which rely on cold outreach and paid marketing founders must think strategically about where and how to activate these networks this means directly selling into trusted ecosystems—such as investor portfolios network selling is embedded in the product itself B2B AI startups often integrate into incumbent platforms to tap into existing customer bases Many AI companies go to market as point solutions solving a highly specific problem before expanding into a broader platform standalone AI apps can struggle to become deeply embedded in existing workflows we’ve seen AI startups leverage network selling by forming tight integrations with dominant platforms gaining access to an established user base while driving adoption new network-driven opportunities will emerge—whether through strategic alliances Network selling is a high-leverage GTM strategy that complements PLG Founders who intentionally cultivate strategic relationships and embed virality into their product can unlock faster more scalable growth while reducing reliance on outbound sales When Paul was building Sales Impact Academy one of the most effective demand generation strategies they used was high-quality webinars Instead of aggressively pushing for sales meetings or focusing too much on their product they led with value—creating content that resonated deeply with their ideal customer profiles (ICPs) and buying personas The key to successful webinars is curating topics that directly address the biggest challenges of your audience—even if they’re only tangentially related to your product By bringing in high-profile industry leaders ("wow" names) as speakers and position your brand as a trusted authority This approach not only nurtures potential customers but can even create pipeline opportunities with the very industry leaders you feature in your events While webinars are typically used for inbound marketing they can also be a powerful outbound tool when you proactively invite key prospects to attend they are more likely to engage with your sales team and enter your funnel adding that webinars also provide an opportunity for co-selling with your reps—giving them a platform to engage with prospects in a low-pressure webinars were particularly effective for helping customers with deployments guiding them on how to integrate the product and maximize its value webinars generate a wealth of repurposable content—from blog posts to LinkedIn clips—that further extends their influence this is a great program to develop if you were to invest in demand generation you not only build awareness but also create a repeatable engine for pipeline growth Paul recommends a highly effective outbound tactic: sending personalized LinkedIn voice or video messages instead of generic cold direct messages This approach helps you stand out in a crowded inbox making it more likely that prospects will engage an SDR used this strategy and she secured more meetings than even some experienced AEs and consistently booked more meetings than any other SDR The personal touch of a voice note or video message feels more authentic and less transactional increasing the chances of breaking through and getting a response AI is transforming sales, but mass email automation isn’t always the best use case. Paul and Kate caution against relying on AI for generic outreach—effective cold emails are relevant, thoughtful, and valuable, qualities AI-generated messages have traditionally lacked. However, AI-powered GTM tools are evolving rapidly, with solutions like Outreach AI leveraging hyper-personalized The real power of AI lies in sales research and personalized outreach. Instead of automating bulk emails, use AI to gather insights that make outreach more targeted and compelling. For example, Seam AI can help build a pipeline with AI agents that prospect exactly like your best salespeople these types of AI tools can also assess engagement signals to guide the next best action—whether that’s a tailored follow-up By using AI strategically for sales intelligence early-stage SaaS teams can accelerate prospecting and boost response rates—without losing authenticity These five approaches are by no means exhaustive but they provide founders with a strong starting point Once a founder has secured their first customers the next step is to build a sales team that can scale and drive the business toward new revenue milestones No two early-stage go-to-market (GTM) motions are identical A startup’s first sales hire—and their objectives—will vary based on industry and whether the business follows an enterprise-led It also depends on whether the startup is creating a new category The first rule of thumb for founders hiring their initial sales team is to define customer and business needs first the cost of hiring—whether for an Account Executive (AE) or a sales leader—should be justified by the revenue they generate Startups with minimal revenue should avoid making a VP of Sales their first hire as their skillset is best suited to scaling an existing sales operation—not building one from scratch a seed-stage SaaS or AI startup with a PLG sales motion may not need a traditional sales team at all—at least not right away the best first sales hire is an on-the-ground salesperson who can sell directly and build repeatable sales processes Alternatively, hiring a customer success (CS) rep first can be a smart move Whether your first hire is a salesperson or a CS rep their primary job is to help refine your ICP —which is foundational to building a scalable sales motion A great early sales hire works alongside the founder to define these insights and optimize where to invest time and resources If you do bring a first sales hire before the $1M ARR threshold know that it’s a crucial decision that can either accelerate or slow down your velocity you set the foundation for long-term GTM success The hiring process is daunting, especially for first-time or technical founders. It involves creating job descriptions, deciding compensation, sourcing and interviewing candidates, onboarding the hire, etc. While external recruiters can help, their fees can reach as high as 30% per candidate which might be too much for a startup just trying to make its first million Instead, hire a fractional revenue leader or chief revenue officer (CRO) to build your early team. “Expecting a technical founder to build the first sales team can be as absurd and risky as asking a sales-oriented founder to build the early technology team,” remarks Paul It’s a growing trend — a few of the CROs that support Bessemer portfolio companies are fractional It can alleviate the hiring stress (a non-trivial amount of time and brainpower) and gives you access to high-level expertise for a few hours a week at a more cost-effective rate “It’s less risky as they’ll set up compensation plans “A great VC is meant to help find the right people to support you It can include advisors and other experts too,” Kate says Another recruiting tip is to hire in pairs — two business development representatives (BDRs) two sales development representatives (SDRs) It also lets you compare performance and establish benchmarks if one SDR creates fifteen sales qualified opportunities (SQOs) and another five This setup promotes healthy competition as they both may strive to outperform one another which can benefit the company and having someone who shares the experience can significantly boost morale One of the most important things to do at this stage is to take action Don’t worry about building a perfectly scalable sales machine before you’ve generated revenue Your priority is to land those first customers as quickly as possible Once you’ve gotten them you can build from there For more actionable insights, check out the Go-to-Market Course we designed for early-stage companies We share some best practices and insights to help leaders gain traction — Railroad crossings in Bessemer will undergo temporary closures starting Tuesday as crews with Norfolk Southern conduct necessary repairs Each crossing is expected to be closed for one day A representative with Norfolk Southern says the work will completed on about 14 miles of rails The rails will be replaced due to wear and tear over the years Work will begin at the 14th Street crossing (Highway 150) and will continue to five other crossings All these crossings run parallel to Carolina Avenue The Bessemer Police Department said crews will make the needed repairs during the one-day closures and will return later to repave the crossings completely Drivers are advised to make necessary adjustments when driving in these areas State of Health Tech 2024  Where have we been? 2024 market review Scaling in the age of AI: Benchmarks for a new business model Where are we going? Emerging trends and predictions Embracing the future of health tech As we reflect on the health tech landscape in 2024, one word stands out: resilience. Like a phoenix rising from the ashes, the sector has shown remarkable adaptability and strength in the face of ongoing market challenges. In our State of Health Tech 2023 we covered in-depth the public and private market hype-cycle and steep market correction as well as the heightened scrutiny of business models we've witnessed the emergence of a new cohort of companies that are not just surviving but thriving in this new environment Investors are demanding clearer paths to profitability and a differentiated path to value creation we've seen encouraging signs of recovery in private market deal-making particularly companies that have achieved product-market fit and are scaling efficiently Perhaps the most exciting development of the past year has been the explosion of interest and innovation in artificial intelligence within healthcare. Rock Health estimates that venture capitalists are allocating 38% of new investment dollars in healthcare to AI-enabled technology driven by advancements in AI and machine learning is set to transform the way we deliver and manage care We’ve seen hundreds of new companies emerge at the intersection of health and AI with more than 20 startups rapidly achieving product-market fit and growing from $1 to $10 million in annual recurring revenue (ARR) in record time we'll discuss the current state of the health tech market examine the performance of public and private companies and publish for the first time benchmarks of health AI companies emerging as a new category We'll also explore emerging trends and offer our predictions for the future of health tech To gauge the overall performance of the sector which serves as a snapshot of public market performance we're excited to introduce two new companies to our index: Tempus and Waystar both of which completed their initial public offerings (IPOs) in 2024 Our expanded index now includes 34 companies representing a total market capitalization of $98 billion which is just the tip of the iceberg compared to the underlying value of the health tech industry in the private market While the sector's performance over the past five years remains below its 2021 peak we've seen notable improvements compared to last year's report Last year, we predicted that the health tech sector had hit a trough. Since then, we have indeed seen public health tech stocks increase in value by 12%. Health tech performance is in line with high-growth software stocks [e.g. the BVP Nasdaq Emerging Cloud Index (EMCLOUD)] and the incumbent healthcare index The direct-to-consumer (DTC) subsector showed the strongest rebound from its low in 2022 led by exceptional performance from companies like HIMS investors have been wary of DTC companies in Healthcare due to the fickle nature of consumer behavior and lack of differentiated distribution channels the recent performance of this sector calls into question whether consumer demand and large market tailwinds (including GLP-1 etc.) will open up a renaissance for this model provider SaaS has also seen significant improvement bolstered by the addition of Waystar and Tempus to our index This showcases a clear need for a new cohort of IPO that will serve as new oxygen to reinvigorate the "flames" of the sector In addition to the solid post-IPO performance of Waystar and Tempus we have seen early signs of the IPO window opening with a few other healthcare services companies going public (note: these are not included in our health tech index) These debuts have injected some much-needed energy into Health Tech’s public cohort this positive momentum has been partially offset by the loss of $20 billion in market capitalization due to take-private transactions While these deals reflect the underlying value in the sector they've also reduced the overall public market capitalization of health tech companies where investors see a lot of value in overhauling these businesses with new technology like AI we're cautiously optimistic about a new cohort of companies that could potentially go public and revitalize the sector An influx of fresh market capitalization and new public listings will breathe life into health tech’s public market cohort helping it rise like a phoenix from the ashes and driving its next phase of growth A few factors that could make this possible: A cohort of private companies across tech-enabled clinical services and healthcare SaaS companies await their debut We are confident these prospects are showing continued strong profitable growth and proven outcomes and ROI to their customers These companies have the potential to serve as bellwethers for the next generation of public health tech firms there has been plenty of recent private market investment into great growth stage businesses The success of these upcoming IPOs will be crucial in attracting investor attention to health tech and spurring a new wave of innovation and growth The private health tech market in 2024 shows resilience and adaptation Private market investments have rebounded to pre-COVID levels with Seed and Series C+ nearing 2020 deal volume we have witnessed a bustling scene of new companies sprouting at the intersection of AI and healthcare we have seen established businesses with scale that have honed their focus on growth and profitability over the last two years and have successfully secured later-stage rounds in 2024 a gap remains—fewer Series A and B financings This underscores the challenges that early-stage ventures continue to face in this evolving market Our analysis of cohorts based on their Seed and Series A funding year reveals a cautionary trend: Of the companies that are successful at raising a Series A the median number of days to reach that milestone is 50% greater in 2024 than prior years and is longer in health tech than in any other sector This makes it more critical than ever for companies seeking to raise their first  institutional rounds to grow efficiently The good news for those able to raise capital is that valuations have rebounded to peak levels 2024 health tech companies are garnering their highest median pre-money valuations across stages in several years We hypothesize that there are several driving factors for the digital health valuation rise: The influence of artificial intelligence on health tech investments cannot be overstated: the share of health tech dollars invested in AI-focused companies has increased by nine percentage points in just two years the valuations that some of these AI companies are commanding can range 2-5x higher than their non-AI counterparts These high valuation multiples showcase the private market excitement for new business models We’re seeing multiple “mega rounds” of >$50 million invested capital in exciting categories like AI-scribes, revenue cycle management (RCM), and back-office admin automation. Many of these companies have seen strong commercial market pull as providers, payers and pharma stakeholders are focused on developing AI strategies and are more willing to experiment with products that drive measurable ROI we have witnessed a group of Series A and B companies rapidly reach scale with a new breed of business model we call “AI Services-as-Software” we are excited to publish a new set of benchmarks for these companies in the $1-10 million ARR range Let’s first revisit the Health Tech business models: In last year's report, we predicted the rise of AI-powered "Services-as-Software," and 2024 has proven this model's rapid adoption these businesses use AI capabilities and agentic workflows to autonomously perform tasks that have typically required human intervention By leveraging AI capabilities—such as large language models (LLMs) and agentic workflow automation—they streamline processes and handle work for B2B customers across providers Examples in our portfolio with this model include: These companies aim to relieve operational teams from routine time-consuming tasks like medical scribing and back-office operations; others are enabling new ways of conducting work and behaviors This approach is particularly valuable in light of the ballooning $1 trillion administrative spend and growing healthcare labor shortage AI Services-as-Software companies allow organizations to better allocate their workforce to areas where human expertise is most critical But let’s be clear: not every company “using AI” falls in this category Leveraging AI and machine learning has become table stakes for entrepreneurs today—these technologies are no longer optional but a fundamental part of any successful toolkit in today's competitive landscape We will see healthcare SaaS businesses leveraging AI to enable different features within existing workflow products and tech-enabled clinical delivery businesses leveraging ML and AI to stratify patient risk enable admin workflows and even triage patient interactions AI Services-as-Software companies are enabling a new category where service is delivered as a product SmarterDx is an AI-powered clinical audit layer for complex medical claims The SmarterDx product reads through tens of thousands of data points (labs notes) per patient chart and proposes changes and edits to a claim this work is done by humans: by both clinical documentation integrity (CDI) nurses within the hospital and highly-specialized physicians within outsourced services companies utilizing workflow software where a nurse reads and reviews the selected charts the entire review is performed by SmarterDx and validated by CDI teams delivering a completed service as opposed to a tool that accelerates existing bespoke processes Healthcare has traditionally lagged behind other industries in digital adoption we believe AI Services-as-Software companies are well-positioned to change that narrative Healthcare SaaS ventures often face extended sales cycles and challenges enforcing adoption among end-users many companies pivot towards tech-enabled services or bespoke software point solutions that are purpose-built for a particular customer’s workflow and therefore easier to adopt AI Services-as-Software businesses can build around complexity by taking on large portions of these complex processes themselves—either as an outsourced business process or a semi-autonomous agent By taking on entire end-to-end chunks of work they are able to “hack” distribution by allowing B2B customers to outsource entire functions which limits the need for change management or to provide an internal admin staff with machine super-powers “doing the work in the background.” By selling the end outcome these companies tap existing procurement processes with large operating expenses (OpEx) and services budgets rather than small IT and software budgets Investors and buyers are closely assessing new AI solutions based on their potential for adoption and the business value they deliver Regardless of the quality of underlying AI models it's critical to differentiate on distribution effective monetization strategies and stickiness as a new system of “control” or function “orchestration.” We are early in the journey to adopt AI and the ways great entrepreneurs are building defensibility and durability is evolving Early benchmarks from a cohort of ~20 companies that fall in this business model suggests an accelerated go-to-market trajectory compared to traditional SaaS models Here are the benchmarks we're seeing for AI Services-as-Software companies compared to prior business models: AI Services-as-Software average KPIs borrow from the best metrics across Healthcare SaaS and Clinical Services We particularly want to highlight four learnings: It's important to note that many companies early in the commercialization path start by quickly acquiring "experimental revenue”—pilot or project-specific revenue to automate certain tasks—rather than true ARR It is crucial for these companies to get past the experimental phase by demonstrating clear ROI and time-to-value ideally selling to stakeholders with established budgets We are hyper-aware these companies may not get paid per seat or a “recurring” software license but we think that is a good thing—instead get paid for the unit of value provided as incumbents may be limited on how they incorporate and capture value of AI given their existing seat-based business model it’s important to measure the quality of the revenue by measuring the re-occurrence of the transactional or services revenue we look to customer feedback and other leading indicators like utilization and ability to meet SLAs as guidance to the quality durability and re-occurrence of the revenue AI Services-as-Software companies are experiencing record-breaking sales cycles due to high industry demand and are seeing customer acquisition cost (CAC) payback periods similar to those of SaaS Several of our portfolio companies have seen <6 month sales cycles much faster than traditional Healthcare sales cycles of 12-18 months 3. Gross margins vary within subcategories of AI Services-as-Software companies. Borrowing from our Vertical AI team framework we see three types of AI Services-as-Software companies depending on the use case end user involvement and human-in-the-loop feedback for reinforcement learning There are three major drivers of cost of goods sold for these AI companies: model costs and humans in the loop for quality assurance and reinforcement learning Gross margin for AI Service-as-Software companies vary widely from 10% to 90% across the three subcategories the average and median are 60% and 65% respectively across all sub-types we see the companies with strong product-market-fit and growing scale able to get some economies of scale for model costs They achieve this by commanding a premium for their service but also optimizing model batches and data pipelines versus running everything through expensive models We expect the same for human-in-the-loop costs as models become better over time and be a source of differentiation on quality we are comfortable with lower gross margins than traditional SaaS businesses as we expect those companies with higher model costs or humans in the loop to be attacking more complex use cases requiring higher accuracy We believe this will enable companies to command premiums differentiate from competition and create moats over time it’s important to be aware of these gross margin differences and make sure companies are not masquerading a service with “some” tech with low margins forever It is also important to think about valuations in connection with quality of revenue and ability to improve gross margins over time Let’s not make the same mistakes we made in COVID-era with tech-enabled clinical services these AI Services-as-Software businesses have similar efficiency scores as traditional software despite the variety of gross margins We are encouraged by this profitable growth These early benchmarks are encouraging for a new way of digitizing the complex world of administration of healthcare We are closely tracking companies as they scale beyond the first $10M and move towards $100M and beyond We will be publishing our learnings as the number of companies and their scale changes We can’t wait to see more use cases and companies built with this new business model and see the adaptability and agility of founders to build defensible category-defining businesses several key trends and opportunity areas are emerging Here are our top predictions and "mini-roadmaps" for the coming year: Payer administration insourcing: Services-as-Software adoption accelerates We have seen most AI Services-as-Software companies establish early category leadership focused on provider workflows - health system and SMB practices alike Many of these use cases are driven by advancements in AI-powered copilots and agentic services We expect this coming year to see new companies arise focused on other stakeholders such as payers and third-party administrators (TPAs) Ballooning premiums are putting employers at a crossroads and we see this as an opportunity to disrupt payer Plans and TPAs have outsourced many workflows to legacy tech-enabled services providers We see an appetite to leverage AI and technology to reduce costs improve quality and maintain greater control with new AI-first services - an insourcing wave of sorts we're seeing increased adoption of AI-powered solutions for utilization management contact-center benefit navigation and streamlined direct contracting with providers Transparency tooling in pharmacy: Navigating the evolving landscape The rising costs and complexity of distribution of prescription drugs have become a central focus of bipartisan efforts aimed at enhancing transparency and streamlining drug channels. Pharma manufacturers are facing pressure as the "gross-to-net bubble"—the difference between the list price and what manufacturers give up to middlemen in fees—has grown by about 40% in the last four years Payers and employers are facing financial strain with the approval of new and costly therapeutics For the first time in history Medicare negotiated its own prices and is capping copays for seniors Pharmacy benefit managers are facing scrutiny by the FTC for more rebate transparency These factors are raising critical questions about how our healthcare system can sustainably fund and manage access to innovative therapies We see significant opportunities for companies that can provide: We expect to see increased investment in companies that can bring clarity and efficiency to the opaque world of drug pricing and reimbursement We are particularly excited about platforms that can align incentives and cater to multiple stakeholders AI-Assisted clinical services: Empowering independent providers While the notion of AI replacing doctors remains a distant prospect we're excited about the potential for AI to augment and enhance clinical capabilities We envision AI as a tool to give healthcare providers "superpowers," enabling them to deliver more efficient and effective care We're particularly excited about companies that can seamlessly integrate these AI capabilities into existing clinical workflows and payment models enhancing rather than disrupting the patient-provider relationship Value-based care system of record: Enabling the shift to risk-based models The Centers for Medicare & Medicaid Services (CMS) has set an ambitious goal to move all Medicare lives and most Medicaid lives into risk-based programs by 2030 coupled with profitability headwinds in Medicare Advantage (including V28 model changes and Risk Adjustment Data Validation audits declines in Stars ratings and increased MLRs) is creating a pressing need for more streamlined processes in value-based care models and AI will play crucial roles in enabling this transition We acknowledge this is a challenging problem with disparate data sources many patient touch points and diverse programs but there should be no better ‘why now’ than technical breakthroughs to leverage unstructured data regulatory push for transparency and data reporting and the threat for need of survival of many players to adopt technology and better infrastructure The trends and predictions we've outlined here represent just a few of the many exciting opportunities we see in the health tech space We acknowledge the uncertainty of the coming election and the potential opportunities that may arise as a result we remain committed to supporting innovative entrepreneurs who are working to solve healthcare's most pressing challenges and improve outcomes for patients no matter which party sits in the White House we remain optimistic about the future of health tech The resilience demonstrated by digital health companies over the past year coupled with the transformative potential of AI and other emerging technologies sets the stage for a new era of innovation in healthcare While challenges remain—from regulatory hurdles to the ongoing need for sustainable business models—we believe the health tech sector is well-positioned to drive meaningful improvements in healthcare delivery and innovators working tirelessly to reshape the healthcare landscape: your perseverance and creativity continue to inspire us let's embrace the lessons learned from both our successes and setbacks Thanks to Karen Jiang for her invaluable help evolving our Healthcare Benchmarking database We've renamed our "Tech-Enabled Services" category from prior reports to "Tech-Enabled Clinical Services" to better reflect the nature of these businesses entrepreneurs are innovating across industries and building more possibilities for the future The startups of today will look different tomorrow But our mission remains timeless — we back ambitious founders We reflected on ServiceTitan’s customer empathy and founder-market fit as key ingredients to its successful scaling journey advising portfolio companies on go-to-market (GTM) strategy Four founders on the state of the AI industry why “it’s still so early,” and how leaders and builders can navigate the complex path from technological breakthroughs to industry adoption we recognize that a CEO’s well-being directly influences business outcomes and company culture and Emotional Health — that together form the foundation of a game plan customized for the goals and challenges CEOs face In this year’s cloud market, AI companies have shown their ability to scale faster than others, averaging just over six years for this year’s Cloud 100 cohort to reach Centaur status ($100 million ARR) Share on FacebookShare on X (formerly Twitter)Share on PinterestShare on LinkedInBESSEMER, Ala. (WBRC) - Firefighters in Bessemer decided to let a junkyard fire burn itself out Friday morning Smoke from the fire on Division Court in Bessemer could be seen from miles away There is currently no word on what caused the fire This story will be updated as more information comes available Get news alerts in the Apple App Store and Google Play Store or subscribe to our email newsletter here Four teachers at Bessemer City Middle School won big at 2025 PACER National Bullying Prevention Center's Antibullying Contest Educators tell us students were guided and supported through the process by their administrators and teachers: Principal Dr Assistant Principals Sarah Person and Dominique Moore Social Studies Teacher Tiffany Wilson-Pugh and School Counselors Jennifer Veitch and Tonia Miller To see the winning video, click HERE Ten principles for vertical AI businesses  Our Vertical AI investment framework Guiding principles  Functional value Economic value  Competitive dynamics  Defensibility The massive opportunity for Vertical AI takes shape A vertical AI business has many of the same building blocks as any great technology company. While essential lessons and frameworks that have helped founders create industry-defining vertical software businesses still apply they’re only part of the equation for those building the next vertical AI giant Vertical AI founders and teams are uncovering a bounty of largely untapped opportunities and with these opportunities come novel considerations and risks that warrant founders’ attention could solve problems and drive ROI where past software companies couldn’t Through our partnership and analysis of some of the most valuable and defensible vertical AI solutions to date we’ve formulated initial guiding principles for building strong vertical AI businesses from the ground up In the fourth and final installment of our Vertical AI Roadmap we share ten key principles focused on strengthening the functional value we offer founders advice on applying these high-level principles to take practical action starting at the earliest stages of company-building Core and supporting workflows across different sectors will have varying propensities for automation a workflow’s propensity for automation — supporting or not — isn’t the only important consideration when deciding what to build Customers will inevitably have different degrees of interest in automation or have strict including in cases where builders view a given workflow as a perfect use case for automation these preferences or requirements can be addressed in the design of your product a dental office might want to set the procurement of medical supplies on autopilot if the order is below a certain cost but still want to have a human review larger purchases An AI procurement solution can bake in that flexibility by completely automating certain orders while bringing a human in the loop for others a law firm might be comfortable completely automating its client payment workflows when it comes to a core workflow like writing legal briefs they use human-in-the-loop-feedback to create the final output — such as creating an initial draft — because of potential pushback from the end client or a desire to maintain control over the final product some solutions have seen less adoption because healthcare’s payment models have lagged behind its industry innovation Just because something can be automated doesn’t mean it should be or that the conditions are right given the possibility of industry-specific bottlenecks and other speedbumps Your customer’s guidance in where and how they want to use AI should always be your North Star — Bessemer City Schools could soon be on the hunt for a new superintendent as Dr has been named the lone finalist for a superintendent position with the Gonzales Independent School District in Texas The Gonzales Independent School District announced on social media that Dr Arreola was named their lone finalist for the superintendent role on Monday The district anticipates hiring her at their next board meeting on March 10 the district plans to offer a meet and greet with Dr Arreola declined to take questions but stated the Chief Administrative Officer with the state Arreola's potential departure was not discussed at a meeting held on Tuesday night She was appointed as the superintendent of Bessemer City Schools in June 2023 no official announcement has been made by Bessemer City Schools regarding a search for her replacement (WBMA) — The Bessemer State of the City address was given by Mayor Kenneth E Mayor Gulley announced the Bessemer Municipal Airport received a new status Gulley said the National Plan of Integrated Airport Systems (NPIAS) reclassified the city's airport from regional to national for fiscal years 2025 through 2029 Gulley said this will make the airport one of only 122 national airports in the United States The airport was designated as a national airport after meeting the following criteria: 5,000 or more instrumental operations Bessemer airport is in great demand," said Gulley "I applaud the Bessemer Airport Authority for its vision and progress that they have made at our airport." Gulley said the Alabama Department of Transportation (ALDOT) Aeronautics Bureau approved taxi lane reconstruction projects totaling $1,825,925 the airport is expected to be more sought after by private airplane owners and pilots Gulley also noted a $500,000 grant secured by U.S Congresswoman Terri Sewell for a drone cage at the airport STRIVE empowers leaders to enhance both personal well-being and professional success We built STRIVE around six fundamental pillars—Sleep and Emotional Health—that together form the foundation of a game plan customized for the goals and challenges CEOs face and personalized guidance across these key areas drawing from Exos’ extensive experience working with elite athletes and Fortune 500 executives We’ve also brought on our first STRIVE-focused Operating Advisor—NFL athlete Arik Armstead—to advise and motivate Bessemer founders with best practices for peak performance "Building a business is the ultimate endurance sport."  “We are constantly reminded of how essential personal health and wellness is for operators to achieve a state of peak performance not nearly enough is said or done about this in our industry,” said Byron Deeter I experienced firsthand the physical and emotional toll it takes We built STRIVE to offer a holistic approach that not only improves health “Building a business is the ultimate endurance sport,” said Elliott Robinson “STRIVE is more than just a program; it is a platform that deepens Bessemer's commitment to the leaders of the entrepreneurial ecosystem and broadens our ability to support founders at every stage of their growth.” The pressures of running a high-growth startup have undoubtedly put mounting stress on today’s operators and leaders we conducted a comprehensive survey of our portfolio founders and CEOs on the state of founder wellness Insights from the survey gave us further conviction to build STRIVE and provide entrepreneurs with the content and community to address their personal goals and integrate sustainable consistent habits that support their physical and emotional wellbeing as they lead and serve their growing companies “The demands of leadership today are similar to those faced by high-performance athletes,” said Amanda Carlson-Phillips chief performance innovation officer at Exos “Leaders are expected to perform at their best under immense stress they need tailored strategies to reach peak performance and recover effectively Our partnership with Bessemer and the development of STRIVE provides the tools and insights to make that possible for today’s founders.” and operators ready to take their performance to the next level we’ve opened access to select resources on how to put STRIVE into play To get started with STRIVE, learn more at bvp.com/strive Proposal filed by Logistic Land Investments will now move forward to the city council has been approved by the planning and zoning commission despite concerns from local residents First reported by ABC3340 News Logistic Land Investments LLC is planning an 18-building data center campus near Rock Mountain Lake Road in Jefferson County The site requires a zoning change from agricultural to industrial the planning and zoning commission has voted 4-2 to approve the recommendation The proposal will now be sent to the city council for a final decision every seat was accounted for at the planning and commission meeting that took place on March 11 Residents expressed concerns about quality of life a resident of Jefferson County for more than 40 years we’re talking about little blue creeks [which] run through it A spokesperson for Logistic Land LLC said the company would adhere to the noise ordinance and said it would keep residents informed of any studies undertaken The developer added it would ensure high-paying and high-quality jobs would be brought to the county The publication reached out to Mayor Kenneth Gulley for more information and the city attorney had signed a non-disclosure agreement and had no comment It is currently unclear who is behind Logistics Land Investments LLC. The same company previously filed to build a data center in Venus Currently, Lumen and DC Blox have a presence in the Birmingham area of Jefferson County The county is the most populous in the state Data Centre Dynamics Ltd (DCD), 32-38 Saffron Hill, London, EC1N 8FH Email. [email protected]DCD is a subsidiary of InfraXmedia the Bessemer Board of Education met for a brief meeting This was the first meeting since Gonzales Independent School District announced Superintendent Dr Dana Arreola was the lone finalist for their open position Arreola was was not present at the meeting President Terry Dawson said the board did not know about Arreola being up for another job before it was posted "We kinda discovered that when you guys did So of course we have like to have gotten advanced notice unfortunately we did not," explained Dawson Arreola for her contributions to the district." Dawson said her last day on the job would be Friday but her last day with the district is March 7th See More: Bessemer schools face potential leadership shake-up as superintendent named Texas finalist See More: Bessemer City Schools receives 'Accreditation Under Review' status due to intervention Arreola was hired in June 2023. On the 2022-2023 report card the district received a 61 The district would also go under state intervention "We are committed that we continue our gains we are confident that we have the right staff they are committed to ensure that we continue the gains that we do not lose any of the gains that we achieved so far," he said There's no set timeline for when a permanent superintendent could be in place Dawson said the state will appoint a Interim Superintendent first "We want to work very closely with Dr "We want to make sure we have the right person that we feel is the right person that is going to be a great fit for the school system Dawson said there are no concerns about recruiting a superintendent "Want to make sure we are focused on getting the Interim Superintendent again that will be appointed by the State Superintendent as we move forward we want to make sure we are at the table that hopefully we will be working with the state to get the right person for Bessemer City Schools," said Dawson While the district is under state intervention we asked the State Board of Education how the process of finding a new superintendent will work Gonzales ISD posted more information to their Facebook about the hiring of Arreola The post contains a statement from her saying "I'm excited to join a community that values education Gonzales ISD commitment to excellence aligns perfectly with my vision for student success." The next Bessemer Board of Education meeting will be March 18th about a week after Gonzales ISD anticipates hiring Arreola (WBMA) — The Bessemer Police Department is currently investigating an wreck involving a school bus Wednesday afternoon The police department said the incident happened at 8th Avenue North and 27th Street North There were 33 elementary-aged children on board at the time of the crash and one 18-year-old. The city's fire department said there were minor injuries, but no one was transported to the hospital. The second vehicle involved had three passengers, two were transported with non-life-threatening, not significant injuries. — A Bessemer family is desperately seeking answers following the tragic death of their loved one The incident occurred on March 18 near Academy Drive and Alabama Adventure exit around 12:30 p.m Summers struck a metal object believed to be a sawmill blade chain that was left in the roadway Attorney Lee Wendell Londer said the object covered almost the entire highway where Summers' father expressed his grief I ain't never felt like this before in my life," he said and the reason he was the best man at my wedding because he my best man and I loved him." The family is pleading for anyone who may have witnessed the accident or has information about the metal object to come forward "I'm just looking for some kind of answers 'cause for him to hit something in the road like that—I know somebody seen something or knows something," said his father "So anything you can do just give me and my family a little bit of closure." Attorney Loder stated that the family is exploring all avenues to hold those responsible accountable "Obviously this family wants to pray about how this person can be held accountable," he said Londer cited Alabama statute Section 32-5-76 Spilling Loads or Litter; Penalty as possible charges coming down the road in the investigation the Summers family holds onto the memories they shared with Terence "The only thing I keep hearing in my head is me saying I love you son and he say I love you too pops," said his father Anyone with information is urged to contact the Bessemer Police Department Bessemer Police say this is still an open investigation the Bessemer Board of Education will pause its regular meetings as members undergo training required by the district's accrediting agency The agency placed the school system's accreditation status under review due to state intervention See Also: Bessemer City Schools receives 'Accreditation Under Review' status due to intervention "The board meetings we had in the past will not exist The community meetings will share some updates with the public what's happening in the schools district," said Boyd informed the community on Tuesday night that instead of board meetings there will be community meetings to share information about the district's happenings and celebrate student and teacher achievements we will have these community meetings and we will share information about what is happening in the district," said Boyd "They (public) can always come and speak with the superintendent that's what the superintendent is here for The superintendent handles the day to day activities of the school district," explained Boyd Boyd said the decision to transition to the community meeting was made last week Keep in mind that because we are in state intervention Cognia had to come in and review the school system During their review they saw quite a few deficits a lot of them required professional development for the board to receive so we are doing this professional development at the same time the board would normally meet." The training will cover the roles and responsibilities of the board and superintendent as well as financial and personnel matters Boyd said the decision to halt the board meetings was made last week When asked if there is any guarantee that board meetings will resume in September "I'm very hopeful if they go through the training they will understand what needs to happen during a board meeting and I'm very hopeful that when we come together we will have some good effective board meetings," he said Superintendent Michael Turner was recently appointed by the state after Dr Boyd will run the monthly community meetings See More: Former Pinson Valley principal Michael Turner takes on superintendent role in Bessemer Board member Margie Varner said she was willing to continue holding board meetings and take on the training required by Cognia "I thought that we really could do both," said Varner She said the board was never asked if they wanted or could do both "I thought we could do the training in a shorter period of time," she said Varner said in the past when the board has had training they did the sessions on a Friday or Saturday She was also concerned a cancellation notice was never provided since the board meeting was canceled The next Bessemer City Schools community meeting is May 8th Bessemer Venture Partners has joined forces with Forbes and Salesforce Ventures to showcase the most innovative minds in cloud technology through the prestigious Forbes Cloud 100 This definitive ranking spotlights the world's 100 most outstanding private cloud and AI companies alongside 20 promising Rising Stars poised to disrupt the industry We're thrilled to announce that nominations for the 2025 Forbes Cloud 100 list are now officially open—your chance to be recognized among cloud and AI’s elite Visit The Cloud 100 website to nominate a private cloud company the 2024 Cloud 100 companies had a combined valuation of $820 billion—up from $654 billion in 2023—marking a 25% year-over-year increase This is the highest aggregate value in Cloud 100 history underscoring the ubiquity of AI and its potential to transform every corner of the software industry The top 10 Cloud 100 companies gained even more influence this year accounting for $299 billion in equity value—or 36% of the total list value Of the 10 categories we assess across cloud computing AI unsurprisingly ranked as the highest-valued totaling $176 billion (21% of the list’s value) followed closely by Fintech at $173 billion In early 2025, several of the hottest AI startups on the list—such as Perplexity (#85)—have already outpaced previous benchmarks to achieve “Centaur” status, the milestone of reaching $100 million or more in annual recurring revenue (ARR). According to Bessemer’s benchmark research the average 2024 Cloud 100 company took 7.8 years to reach this milestone while AI companies reached it even faster—averaging just 6.3 years With 97% of last year’s honorees projected to hit or exceed $100 million in ARR we expect to see even more Centaurs by year’s end As a sign of the times, Cloud 100 Rising Star Supermaven joined forces with AI code assistant Cursor in November 2024—a company that has skyrocketed to $200 million in ARR in under two years powered by an astonishingly small and nimble team the Cloud 100 community has consistently served as both a source of innovation and a signal for what’s to come—a bellwether for emerging business benchmarks and technology trends across sectors worldwide Cloud 100 companies are the current leaders of the private cloud and AI market—and the public tech giants of tomorrow Private cloud companies are evaluated by their market leadership made up of the leading public cloud company CEOs will once again determine the Cloud 100 honorees including top leaders such as Jenn Tejada of PagerDuty The Cloud 100 judges’ qualifications precede them Many of these CEOs were Cloud 100 winners before they were judges––they know how hard it is to build a business that makes this list Nominations for the 2025 Cloud 100 are open now at thecloud100.com and run through April 30 at 11:55 pm PT Forbes will announce the Cloud 100 and the 20 Rising Stars in Forbes Magazine and on Forbes.com These 120 extraordinary companies don't just represent excellence—they embody the very future of cloud and AI innovation pushing boundaries that most haven't even imagined yet We're privileged to shine a spotlight on their remarkable journeys and celebrate the transformative impact they're creating across the global technology ecosystem The lead up to the lakehouse revolution  Enterprise data architecture is a call and response to innovation  Modern OTFs are unlocking the full potential of the lakehouse At the tip of the “Iceberg”  The precipice of the Lakehouse era Enterprise data infrastructure is simultaneously a call and response to every technological shift — it both enables new products and businesses while simultaneously evolving to support the demands created by these same innovations Over the last fifty years, we’ve progressed from traditional on-premise data warehouses to cloud-native data warehouses and data lakes. Today, we’re at an exciting inflection point for the landscape as we’re evolving quickly past the modern data stack (which was the premise of our Data Infrastructure roadmap from 2021) due to multiple catalysts that are ushering in a Data 3.0 era For one, as we noted last year, AI’s proliferation has led to profound changes within the AI infrastructure landscape But in the midst of this major technological shift The very core of enterprise data infrastructure is being reimagined due to the impact of a revolutionary architectural paradigm—the data lakehouse—which supports multiple use cases The lakehouse paradigm doesn’t just represent a marginal improvement to the architectures that came before it it is a radical transformation that will bring forth an era of unprecedented interoperability and set the stage for the next wave of multi-billion-dollar data infrastructure giants to emerge and Google Cloud are pouring trillions into AI-optimized infrastructure while major players like Databricks have reached profitability signaling a mature yet still rapidly evolving market while the space has progressed significantly enterprises are recognizing that the current cohort of data infrastructure architectures cannot keep pace with the AI revolution’s scale This is fueling a burgeoning demand for a new architectural standard to rise as we transitioned from Data 1.0 to Data 2.0 two dominant architectural paradigms had emerged: the cloud data warehouse and the data lake each of these have limitations (both in terms of capabilities as well as user experience) These shortfalls are now being critically exposed as the current explosion of AI-powered applications and techniques pushes these architectures beyond their limits: AI applications and workloads require new abilities and capacities that many legacy infrastructure technologies have yet to support: the demands from enterprise customers have evolved as well: Each chapter of data infrastructure not only introduces new capabilities but also reveals limitations that invite future waves of innovation and technological compounding The dynamically changing tech and customer landscape compelled technologists to begin experimenting to find a viable successor to the warehouse and data lake given the clear need for a higher standard of technology that could naturally capture the best of both worlds in a single architecture Chatter around the unbundling of the data warehouse (aka the Deconstructured Database) began in as early as the late 2010s. New innovations around open table formats (such as Delta Lake, Iceberg, and Hudi) and associated open standards for storage (such as Parquet ORC) and data access (such as Arrow) began emerging during this time It would be remiss of us not to recognize the groundbreaking generation of open table formats (OTFs) including Delta Lake that has unleashed the power of the lakehouse These formats are an abstraction of underlying files presenting them as a single “table” that users can then access through an API These formats enable advanced capabilities Here, we’d like to give recognition to Iceberg for having a phenomenal year in 2024, including Tabular being acquired by Databricks in a blockbuster deal By the early 2020s, these efforts ultimately led to the birth of a new architectural concept—the data lakehouse The lakehouse paradigm isn’t just an upgrade—it’s a foundational shift that rewires how data infrastructure operates By combining the refined power of data warehouses with the flexibility of data lakes it unlocks a level of interoperability we’ve never seen before This isn’t just about better performance; it’s about enabling entirely new capabilities in AI-driven applications This phenomenon has now taken the industry by storm, with major market players, enterprises, and startups such as Bessemer portfolio company TRM Labs As the market coalesces around the lakehouse shift the opportunity to back category-defining infrastructure companies has never been greater We see a massive opportunity for bold founders to both pioneer brand new categories within the lakehouse stack and also disrupt existing infrastructure categories Note: We recommend digesting our Data 3.0 roadmap in conjunction with our AI Infrastructure roadmap since we believe that Data and AI are two sides of the same coin With the right mix of technical innovation and go-to-market strategy the post-modern-data-stack Data 3.0 ecosystem is primed for the rise of net new multi-billion-dollar infrastructure platforms We have four major theses around how this space will develop in the coming years and orchestrators are undergoing a fundamental shift in Data 3.0 these tools are serving user-facing production use cases as opposed to internal deployments with a higher tolerance for failure scenarios and view lineage and dependencies within its interface which significantly advances in how AI systems integrate with the Data 3.0 ecosystem MCP does this by providing a standardized framework for context-aware AI interactions that preserves relationships between queries and output—while maintaining governance and security standards This could unlock a future full of agentic innovations built on top of code-native infrastructure for use cases such as automating repetitive with its unified batch and streaming model This model has proved particularly valuable for continuous model training and inference workloads but may be too complex to manage directly for most enterprises As organizations mature their AI capabilities, we'll see the emergence of specialized stream processing patterns optimized for model serving and continuous learning pipelines that blend historical batch data with real-time signals for more accurate predictions and recommendations. Companies like Chalk provide real-time inference as a managed platform which is especially critical for companies that need to make instant This evolution toward more streaming-first architectures represents a paradigm shift in how enterprises architect their data platforms to support AI-driven decision making at scale and we see a future of stronger co-existence between different styles of engines (see Thesis 4) The metadata layer is emerging in importance as a strategic frontier in lakehouse architecture, serving as the core layer that governs how data is understood, discovered, accessed, and optimized. While metadata tools have long existed in different chapters of enterprise data infrastructure we believe that a new generation of metadata tools will be greatly elevated in significance and impact: everyone from startups to incumbents are racing to establish standards in the metadata layer a pioneering cohort of modern open table formats has emerged to define this frontier Large cloud and data infrastructure players also recognize metadata as a strategic priority – they are investing aggressively in new innovations and open-sourcing key components in this layer to drive further compute adoption Within this layer, a new generation of lakehouse-native data catalogs such as Datastrato (by the creators of Gravitino) and Vakamo (by the creators of Lakekeeper) have sprouted up since data catalogs are essential in the lakehouse paradigm or agent data access across both lakehouse and traditional architectures Furthermore, the metadata layer is now critical for taking action and orchestration. Features like caching and data versioning are increasingly vital for AI workloads, meaning metadata management is becoming a core enabler of high-performance, efficient, AI-native data infrastructure. Solutions across open- and closed-source initiatives such as OpenHouse, Apache Amoro and Bessemer portfolio company Ryft are positioned to provide a “control plane” for enterprises to handle data management challenges effectively Related to actionable metadata, another interesting theme we are witnessing within this layer is the emergence of new optimization tools. Optimization is not necessarily a new phenomenon within the data infrastructure landscape as enterprise customers are always mindful of cost and latency concerns across their stack. However, from Flarion.io to Greybeam we’re now seeing teams innovate on primitives outside of the underlying storage layer – allowing organizations to make data processing in the AI era more cost- Although known to be an “established” infrastructure category the compute and query layer is undergoing major transformation in Data 3.0 driven by the rise of lakehouse architectures we’ve already painted a picture of a future where there could be stronger co-existence between batch and streaming engines This represents just one potential area of transformation This transformation is not just about incremental improvements—it represents a fundamental rethinking of how data is processed, optimized, and queried in AI-driven environments. While Spark and Ray remain the lingua franca of the AI engineering world next generation compute frameworks that optimize for AI-first workloads are beginning to sprout from different angles including the emergence of AI-optimized query engines allowing engineers to handle complex failure scenarios with application-like constructs ease of security and compliance evaluations many enterprises are re-evaluating their technology choices on the basis of where they can receive the best LLM assistance This has boosted the adoption of popular open source technologies that are well-understood by the LLMs since closed source technologies have less training data available and thus more difficult to get Copilot-like support Since software is driven by AI and AI is driven by data the assembly line model of engineering no longer makes sense in 2025 Teams will depend on agile and open tools to collaborate in this new era As we enter a new era of unprecedented interoperability we are excited to support founders at the forefront of innovating in this new architectural paradigm—whether it’s transforming legacy categories or pioneering new ones we believe this evolution represents one of the most compelling investment opportunities in enterprise infrastructure today We’ve spent over a decade partnering with category-defining data and AI infrastructure companies—including Auth0, HashiCorp, Imply, Twilio, and Zapier—so we recognize the unique challenges and opportunities data infrastructure founders face in building foundational technology We are proud to support the next generation of data infrastructure startups with: We’re eager to partner with and support the next generation of data infrastructure leaders; please reach out to Janelle Teng and Lauri Moore for further discussion Special thanks to Solmaz Shahalizadeh (BVP Operating Advisor & Former Head of Data at Shopify) Will Gaviria Rojas (Co-founder & Field CTO of Coactive AI) Yossi Reitblat (Co-founder and CEO of Ryft) and Wes McKinney (Co-Founder of Voltron Data & Principal Architect at Posit) for their feedback Let’s be real – the idea that educators are “tech-phobic” or “stuck in the past” is as outdated as dial-up internet Teachers are embracing AI faster than we can say “ChatGPT." For years legacy education tech—like basic SaaS platforms—tried to make waves but mostly flopped but they didn’t fundamentally transform the classroom or make it any easier for teachers to do what they do best: teach it’s no wonder these tools never really caught fire among educators Enter Brisk––the AI-powered platform that’s revolutionizing K-12 education and giving teachers back their most precious resource: time Brisk effortlessly integrates into educators’ existing workflows helping them cut down on fragmented tasks like grading a teacher can use their Brisk extension to instantly draft personalized responses for student essays each one customized to the appropriate grading rubric and skill level That’s 10 extra hours to focus on what truly matters—their students Brisk is tackling one of the biggest challenges in education technology: fragmentation By integrating seamlessly with the tools teachers already use—from Google Docs to PDFs to YouTube—Brisk creates a unified AI-powered workflow that reduces complexity instead of adding to it And in an age where data privacy matters more than ever Brisk has earned recognition from organizations like the Student Privacy Pledge and Common Sense Media for its unwavering commitment to protecting both student and educator data Brisk has grown to serve over one million educators across 100 countries and partnered with more than 2,000 schools and districts At the helm of this exciting growth is Brisk's founder, Arman Jaffer whose deep empathy and understanding of educators' needs have shaped every aspect of Brisk’s development This “educator-first” mindset has driven the platform’s success and earned it a loyal following among teachers The future of education is undoubtedly AI-driven but here’s the twist: AI in education isn’t here to replace human relationships AI will amplify the human connection at the heart of every transformative classroom experience This investment will accelerate their evolution from a suite of AI-powered tools into a full-fledged classroom agent leveraging its position in the browser to support educators in driving personalized And this vision goes far beyond just workflow automation—Brisk is building an AI-native education tech stack that could fundamentally reshape how we think about teaching and learning Teachers are some of the most dedicated professionals out there Many of us can remember that teacher who spent hours every night writing paragraphs of feedback on our essays and then went above and beyond to reward us for doing well (some even baked treats for us when we really needed them!) While educators like these are absolute legends they shouldn’t be spending their after-school hours perpetually bogged down by tasks That’s where Brisk comes in—to give these world-class educators more time to do what they do best: teach and connect with students We’re proud to lead Brisk’s $15 million Series A round and partner with them on this exciting journey to support every educator who has ever wielded purple ink and gone the extra mile to drive student outcomes Want to learn more about Brisk Teaching or try the platform? Visit www.briskteaching.com He will be paid $185,000 to lead the district under state intervention Turner began his career in education in 1995 as a substitute teacher at Fairfield High School He most recently spent the last decade as principal at Pinson Valley High in Jefferson County This will be his first superintendent role Watch Turner's full one-on-one interview will Megan Scarano here. Below is a copy of Turner's contract with Bessemer City Schools The next Board of Education meeting is set for April 15th The AI landscape is evolving at a relentless speed—like an escalating game of 3D chess. Take Anthropic’s latest breakthrough: Claude 3.7 delivering both lightning-fast responses and deep representing one of the most compelling examples of Agentic AI yet These innovations cement Anthropic’s position at the forefront of AI bridging practical problem-solving with cutting-edge technology And in this high-stakes industry chess match That’s why we’re proud to back Anthropic again as part of their latest $3.5 billion financing Bessemer Venture Partners is doubling down on our investment in Anthropic because we are convinced that winning in AI requires more than engineering efficiency—it demands best-in-class talent massive hyperscaler capacity and distribution 1. Enterprise AI is at an inflection point: In 2023, the initial wave of AI adoption focused on consumer applications and proof-of-concepts. But in 2025, enterprises are moving from experimentation to production deployment. This shift demands more than just raw model performance—it requires robust infrastructure Anthropic demonstrates this enterprise-first approach combining state-of-the-art capabilities with the features businesses need to deploy AI safely and effectively 2. Developers are the key to platform dominance: Anthropic's commanding lead in code generation and software development capabilities represents a critical strategic advantage Just as previous technology platform shifts like virtualization and mobile were driven by developer adoption AI's enterprise penetration has been led by its ability to enhance developer productivity through best-in-class models Claude's superior performance in coding tasks combined with its deep understanding of software architecture and best practices has made it the preferred choice for developers worldwide This developer-first approach isn't just about feature sets—it's about building a sustainable competitive advantage in what has historically been the most important early adopter user persona and use case in the enterprise What makes this particularly powerful is the closed-loop nature of software development: unlike more subjective AI applications like content creation or writing objective feedback loop enables rapid iteration and improvement (via reinforcement learning) allowing Anthropic to build upon its existing significant lead in the coding use case while accelerating the path to enterprise-wide adoption All of these activities are underscored by Anthropic’s continued commitment to research on mechanistic interpretability and alignment Recent AI efficiency developments are significant but represent just one aspect of this historic technical paradigm. The actual AI race to value isn't just about training costs—it's also about building AI systems that enterprises can trust Anthropic's comprehensive approach to this challenge combining cutting-edge research with practical enterprise needs Dario and Daniela Amodei have cultivated an impressive concentration of AI talent at Anthropic and assembled a team that comprehends the immense potential and significant responsibilities of developing cutting-edge AI systems The co-founders’ experience at OpenAI and the exceptional team they've assembled provide them with a distinct advantage in safely and successfully developing AI at scale This new influx of funding will accelerate Anthropic's research into more capable and safer AI systems and strengthen its position as a trusted partner for businesses navigating the AI revolution As the market matures and enterprises demand more sophisticated and trusted AI solutions Anthropic's comprehensive approach will prove increasingly valuable The team’s multi-faceted vision to invest in improving underlying models and building upon their research in interpretability and alignment is incredibly compelling As these all come together in the not-too-distant future we anticipate that Anthropic will eventually provide virtual AI collaborators to knowledge workers and Enterprise customers of every shape and size This isn't just incremental progress; it's a fundamental rethinking of how AI can serve human potential across every industry The next chapter of AI will be written by companies that can balance innovation with responsibility technical excellence with practical deployment and rapid progress with careful consideration of consequences Anthropic possesses all these qualities—and more importantly it has a team capable of executing this vision at scale If you're building AI infrastructure or the AI applications running on top of them, contact someone on our team. Learn more about our AI investment thesis and view our latest AI and data infrastructure market map. Learn more about our journey with Anthropic: Share on FacebookShare on X (formerly Twitter)Share on PinterestShare on LinkedInBESSEMER, Ala. (WBRC) - One person is dead after a house fire early Tuesday morning in Bessemer Family members of the victim have confirmed him to be 70-year-old Glover Mayweather the call came in for a house fire in the 1500 block of 12th Avenue North at 12:15 a.m they say the home was fully engulfed in flames Glover was said to be in an upper level of the home was able to escape through a window with only minor injuries She was transported to UAB Hospital to be evaluated and treated There is currently no word on the cause of the fire as officials continue to investigate Affordable fashion retailer Rainbow Shops is opening a new store in Bessemer The popular chain will move into the Academy Shopping Center at 726 Academy Drive Harbert Retail’s Casey Howard and Lacey Scott represented the landlord in a deal the shopping center—located near I-20 exit 108 along Academy Drive—is 100% leased.  This will be the 7th Rainbow location in the Birmingham Metro area Several new businesses and developments have opened in Marvel City over the past year Stay up to date on exciting local news like this by following Bham Now on Instagram and Facebook and signing up for our FREE newsletter.  Former Executive Director at the Alabama Environmental Council and Wild South Publisher of the Bama Environmental News for more than 18 years Career highlights include playing an active role in the creation of Alabama's Forever Wild program preservation of special places throughout the East through the Wilderness Society and the strengthening (making more stringent) the state of Alabama's cancer risk and mercury standards All content on this site is Copyright ©  Rushing Waters Media LLC/Bham Now 2016-2025 2025 Healthcare and Life Sciences Predictions 1. Trump’s support for ICHRAs may strengthen the Obamacare exchanges he previously tried to eliminate 2. Medicaid is likely to face scrutiny, but opportunity may lie ahead for more value-based care 3. New drug modalities will treat the masses–literally and figuratively 4. Multiple de novo protein therapeutics will be tested in humans in 2025 5. At risk of unions’ disapproval, the AI conversation will shift in focus toward happier jobs and workforce multiplier capabilities 6. Healthcare systems will scale new infrastructure to end the obesity epidemic and sustain mass adoption of GLP-1s 7. U.S. healthcare will develop a net new workforce model to address the silver tsunami 8. Healthcare organizations will shift from piloting new tech to meeting real demands for ROI in AI 9. Foundation model providers will launch healthcare and life sciences-specific products 10. Multimodal clinical AI will revolutionize measurement in medicine, but payment models lag behind The health tech sector demonstrated remarkable resilience in 2024. Even in a challenging macroeconomic environment, healthcare AI companies showed particular strength with successful implementations across clinical and research domains fundamentally reshaping care delivery and management This evolution has moved well beyond the initial excitement phase with organizations now focused on scalable enterprise-wide deployments that deliver measurable value we anticipate several forces converging to make this year an especially promising one for healthcare innovation Advances in AI capabilities are coinciding with mounting pressure to address fundamental challenges in healthcare delivery and access therapeutic breakthroughs and novel care delivery models are creating opportunities for transformative change The companies best positioned to succeed will be those that can harness these technological capabilities while building sustainable businesses that deliver clear value to patients In this year’s healthcare and life sciences predictions we share what we’re hearing and anticipating to shape the sector in the coming months Individual Coverage Health Reimbursement Arrangements (ICHRAs) were created under the first Trump administration allowing employers to provide tax-free allowances for employees to purchase individual health insurance view ICHRAs favorably because they are market-based and give employees more choice the influx of employees from group coverage to individual plans is expected to reduce the average age of ACA market participants helping to stabilize the market via improved risk pool health and potentially lower premium costs There is plenty of speculation of how a Republican-led government will change Medicaid Surely many of these policies would weaken the Medicaid program potentially leading to a decrease in the number of Americans who can access healthcare we see a potential silver lining: acceleration of value-based care (VBC) adoption The next decade will witness a paradigm shift in the focus of novel drug modalities—such as gene therapies and protein degraders—from rare diseases to large-scale chronic conditions to treat the masses (yes either as a pivot or a complementary expansion This transition will be driven by advancements in technology and the continued evolution of drug development the development of CRISPR gene editing in 2012 along with other new drug approaches ignited a similar wave of enthusiasm We predict we’re entering a decade-long shift towards genetic medicine and other novel modalities expanding scope to large chronic conditions as a mainstay of drug development and personalized medicine There are three key drivers behind this shift: In 2025, multiple de novo protein therapeutics designed entirely by AI will likely enter human clinical trials. While there have already been over 70 drugs leveraging AI that have entered clinical trials we’d argue that the majority of these have used AI to modify or optimize existing drug structures or sequences rather than generating a completely de novo therapeutic with an AI approach to design drugs from the ground up without a starting point Generative models like ProGen, RFdiffusion, SCUBA-diffusion, Chroma and others are turning the traditional therapeutic development approach on its head aiming to design completely synthetic proteins with drug-like properties to perform a desired function in treating disease While it is still early days for de novo drug design we are optimistic about this approach’s longer-term potential because we believe that value will accrue most significantly to the AI-native biotechs that leverage these tools to create blockbuster therapeutics the rapid iteration in this field we are seeing gives us hope that generative AI could rapidly advance drug programs through preclinical and regulatory hurdles a zero-shot design cycle offers the potential to witness completely generative therapeutics obtain investigational new drug (IND) clearance This milestone will mark a convergence of advances in AI with the initial focus on a narrowly defined Healthcare's AI conversation needs a fundamental shift in 2025 to deliver true transformation Two forces are driving this imperative: growing influence from unions and worker advocacy groups concerned about job automation and an increasingly strained workforce facing critical supply shortages Rather than focusing on automating jobs away successful AI adoption will focus on empowering healthcare workers—both frontline and back-office staff—with "superpowers" that have new skill requirements and enhance their capabilities and efficiency Having humans in the loop is about more than just productivity gains—it’s the new way forward for life-saving healthcare Human oversight is required to fulfill the promise of high-stakes AI-enabled pathology interpretations and surgical decisions By reframing AI's role as a tool for scaling the limited supply of healthcare practitioners organizations can foster new behaviors and workflows that allow everyone to operate at the top of their license This includes not only doctors and nurses but also administrative staff who play critical roles in patient care delivery The key to this transformation lies in collaboration and trust that prioritizes worker empowerment This shift will redefine the narrative around AI transforming it from a perceived threat to a critical enabler of a more effective and sustainable healthcare system bending the curve and sparking optimism for long-term public health mass GLP-1 adoption also introduces secondary and tertiary effects that the industry must anticipate and address we predict healthcare systems will invest in new infrastructure across four key areas:  healthcare caregiver system will face an unprecedented strain as the boomer generation continues to age into Medicare This silver tsunami will far outpace the available workforce with the ratio of workers to Medicare beneficiaries reaching a critical breaking point will feel the additional weight of caregiving demands compounded by potential disruptions from immigration policy shifts and mass deportations from the new administration we expect four key innovations to emerge in 2025: these efforts will not only bolster the caregiving workforce but also transform it into a sustainable innovative sector capable of meeting the needs of an aging nation Following an intense year of AI enthusiasm in 2024 healthcare organizations in 2025 will reach a critical juncture in their battle with "pilotitis": the persistent cycle of piloting new technologies without achieving widespread adoption As organizations face mounting pressure to demonstrate returns on their AI investments vendor procurement will become dramatically more selective Rather than continuing with isolated proof-of-concept projects, organizations will prioritize scalable, enterprise-wide platform deployments backed by a maturing ecosystem of benchmarks and assurance frameworks New AI vendors will face heightened scrutiny with organizations demanding robust evidence of potential ROI before signing contracts Evaluation frameworks will evolve beyond simple accuracy metrics to encompass workflow integration costs and measurable improvements in patient outcomes While healthcare enterprises will continue prioritizing solutions that generate first-year revenue and immediate cost savings, we anticipate growing demand for clinical AI applications where there is significant work to be done across regulatory which help developers build healthcare AI applications starting with chest X-rays This expansion raises intriguing strategic questions Will these companies leverage their formidable consumer brands to venture into direct healthcare services like symptom checkers and AI medical consultations Or will they focus on deepening their relationships with existing enterprise customers in the healthcare sector The life sciences landscape presents its own challenges particularly in the protein language model space With several well-funded competitors already commanding significant leads new entrants will need to carve out distinctive applications or innovative business models to generate meaningful value Yet perhaps the most fascinating aspect is watching these foundation model companies bet on specialized biomedical models even as debates continue about their advantages over general-purpose alternatives 2025 is the year multimodal AI in healthcare faces its commercial reality check But healthcare's traditional payment structures haven't caught up The gap between technical capability and commercial viability will continue to widen Multimodal AI is now tackling healthcare's most complex challenges: interpreting haploinsufficient and polygenic conditions But clinical deployment requires more than technical excellence It demands careful integration into physician workflows clear protocols for clinical decision support The initial wins for multimodal healthcare AI will come from operational applications where ROI calculations and workflow integration are more straightforward The transformative potential of diagnostic AI remains constrained by reimbursement complexities implementation barriers create a maze of restrictions that limit scalability The vision of the learning health system—where every patient interaction advances medical knowledge—is within reach technically with multimodal AI While operational use cases will lead adoption clinical AI represents our greatest opportunity to fundamentally reimagine healthcare Getting the business models right is essential to unlock this potential — A new Aldi grocery store opened its doors Thursday at 2910 Morgan Road in Bessemer The new store received a warm welcome from many people living in the area "I'm glad that something has opened up since Winn-Dixie closed," said Connie Rockett "Having a new store opening up is going to be good for me because it's near the neighborhood that I live in here." urging Aldi to improve conditions for animals before they are slaughtered The advocacy group claims that Aldi continues to use cages for mother pigs and hens in its supply chain The advocacy organization says other companies are abandoning that practice to create a more humane process for the animals said they are seeking transparency from the company we are trying to have the animals moved from cages to group housing That's all we're asking for," Sequeira said These protests are expected to continue at Aldi locations across the country A representative from the Aldi location in Bessemer declined to comment on the protests The city of Bessemer has seen two homicides within the first three days of the new year "We don't want our city defined this way," said Kenneth Gulley Bessemer's first homicide of 2025 happened on New Year's Day The city's second homicide of the new year happened 48 hours later was shot and killed in a house as unknown suspects drove by shooting "When it comes to innocent children it kind of hits you a little harder you know a lot of times when it comes to any loss of life due to gun violence it is sad but when start talking about innocent children that takes it to a different level," said Gulley The city of Bessemer ended 2024 with 11 homicides in the city Bessemer police chief Michael Wood said to stop the gun violence it is going to take someone willing to break the cycle turn the information over to police and let them handle it 62-year-old Tracie Marks Jones was identified as the suspect in the murder of Elijah Mack jr She has been charged with murder and is being held at the Jefferson County jail without bond No one has been taken into custody in the murder of 13-year-old Allen Thomas Anyone with information is asked to contact the Bessemer Police Department at (205) 425-2411 or the tip line at (205) 428-3541 Part III: Business model invention in the AI era  AI-enabled services Early pricing model examples of emergent Vertical AI leaders  Up next: Our investment framework and founder advice Much like cloud computing transformed vertical industries over the past two decades the human-like capabilities of LLMs — processing text and code — are making it possible for Vertical AI to achieve what was previously unimaginable for sectors of the economy that only benefitted marginally from previous waves of software innovation Vertical AI companies aren’t just streamlining workflows; they’re taking on vast language-heavy tasks that dominate industries like legal and professional services — sectors representing a 10x larger TAM than the software market itself but the efficacy and future success of Vertical AI hinges on the strength of its business models Delivering your product in the right format for your specific vertical alongside a pricing model that captures the value you’re creating for customers is critical for the short and long-term viability of your business In this installment of our Vertical AI Roadmap we dive into three new business models defining the AI era — Copilots and AI-enabled Services — and explore the innovative use cases and functions vertical AI companies are addressing today The first incarnation of AI-native business models that we saw emerge were copilots Copilots are AI applications that sit side-by-side with users as they go through workflows AI copilots supercharge employee productivity while keeping the human user in the center of the workflow Because copilots aim to increase individual employees’ efficiency and efficacy copilots are generally priced like traditional cloud software on a per-seat basis tied to the company’s headcount This pricing model has already shown real momentum with public companies like Microsoft and Salesforce which have all been able to benefit from healthy price increases of their core products by offering copilot add-ons Microsoft’s Office365 generally costs $15 to $30 per license but getting access to their copilot product costs an additional $30 doubling or even tripling the price per seat Voice: As we discuss in part two of this series ongoing progress is being made on core components of the conversational voice stack Advancements in speech-to-text models (automatic voice recognition) have supported a new generation of voice-based copilots addressing transcription use cases such as analytics or preparing and even helping users complete the next steps in a workflow Abridge is a company at the forefront of innovation in voice AI for clinical use cases Its copilot product for healthcare providers transcribes and summarizes doctor-patient conversations Abridge’s speech recognition technology can automatically detect the doctor’s specialty and the language spoken by the patient (across 28 languages) and translate in real-time to draft the clinical documentation in English Image: There are also AI copilots that generate images to streamline design processes in a variety of industries but are particularly becoming more prevalent in the architecture, engineering, and construction (AEC) industry. Workpack AI and Togal AI are visual copilots for estimators in the preconstruction process that automatically perceive While copilots help employees do their work, AI agents fully automate workflows for specific functions with minimal human intervention required. In this way, agents are decoupling software and productivity from human headcount and transforming what businesses can achieve. Agent solutions are not only being built by vertical AI startups; incumbents are diving in headfirst, with Salesforce launching Agentforce their employee and customer-facing support platform Pricing strategy for agents is still developing Given that agents can substitute future incremental headcount and allow existing employees to work on higher value tasks many are priced based on the solution’s output relative to human workers and agent ROI is framed in terms of the money saved on expanding headcount Software sales: Relevance AI’s sales development representative (SDR) agent Recruiting: LinkedIn recently announced the launch of its first AI agent Hiring Assistant which takes on certain workflows typically done by recruiters turning notes into drafts of job descriptions Customer support: Slang’s voice AI fields phone calls for restaurants, answering simple questions, making reservations, and connecting customers to employees as needed. Similarly, Assort Health’s AI agent call center for healthcare schedules patients appointments Back office functions: Tennr automates document and referral processing and other manual workflows related to healthcare administration AI-enabled services companies have the potential to deliver cheaper and more consistent services to the market and take share from incumbent services companies Pricing for these services generally anchors to existing legacy service provider pricing automation allows AI companies to undercut existing providers and still retain higher margins EvenUp charges per demand letters generated which is less than the hourly pay required for an in-house paralegal to complete this work (and as a result frees up paralegals to complete higher-value tasks Legal services: EvenUp automatically builds demand packages for injury lawyers allowing them to settle cases faster and more economically and to sometimes win higher settlements than when all aspects of the workflow are done manually Medical billing: SmarterDx automates clinical documentation integrity (CDI) specialist work in hospital inpatient departments analyzing 100% of the data contained in every patient chart to capture revenue that might otherwise be lost Third-party insurance administration (TPAs): Reserv automates the insurance claim process and delivers better data and insights to carriers Reserve is able to compete with and often replace legacy TPAs like Sedgwick and Crawford by delivering superior service through the use of generative AI in addition to talent Among many breakout Vertical AI businesses we’re seeing AI founders fully embrace usage and output-based pricing to align value capture with value creation This approach of tying pricing to specific outcomes delivered means an easily quantifiable ROI for customers that can be benchmarked to their existing spend vertical AI companies are often either putting this output into tiers or adding a base subscription fee to ensure a predictable baseline spend from each customer This means that vertical AI companies can benefit from the predictability of subscription fees or tiered pricing while also capturing the upside of expanded use—a hybrid pricing represents an attractive model of value capture for vertical AI AI-powered translation company that provides highly accurate and nuanced language translation services for businesses and individuals AI-driven legal technology company that transforms the personal injury claims process by automating the creation of demand packages AI customer communication platform that launched an AI agent that handles frontline customer support autonomously FinAI copilot with 10 free tickets per agent A customer service and engagement platform that helps businesses build better relationships with their customers While frameworks and strategies developed for horizontal AI and vertical software companies still have some utility for Vertical AI we’re also seeing a significant (and growing) number of unique opportunities and trends that founders will need to understand and contend with in order to build innovative and valuable vertical AI products and services and maintain defensibly in the face of competition from new AI upstarts as well as AI features from vertical incumbents who aren’t asleep at the wheel we’ll share our initial investment framework and founder advice focused on four core pillars of vertical AI products and businesses: functional value Bessemer Venture Partners has been fortunate to partner with legendary vertical software companies like Shopify, Procore, Toast, ServiceTitan, and MindBody — we think the next generation of vertical AI presents an even bigger opportunity. If you are working on a Vertical AI application, we would love to hear from you! Please reach out to our team at VerticalAI@bvp.com (WBMA) — The Bessemer Police Department is investigating a homicide that occurred Friday night in the 1200 block of 13th Street North officers responded to a call of a 13-year-old male shot just before 10 pm The Jefferson County Coroner has identified the boy as Allen J When officers and medical personnel arrived Thomas was transported to an area hospital where he was pronounced dead Bessemer Police preliminary investigation shows that Thomas was inside a residence and unknown suspects shot into the residence It is not clear if Bessemer PD has any leads at this time SEE ALSO: 24-year-old woman injured in Center Point shooting SEE ALSO: Birmingham police ask for help finding person of interest in missing person case Updates will be added when they become available (WBMA) — A man suspected of shooting at individuals on Birmingham's east side was apprehended Tuesday after a coordinated effort by multiple law enforcement agencies The Bessemer Police Department said Demario Ladell Keith faces multiple charges including drug trafficking possession of a firearm by a prohibited person The police department said it received a public service announcement from Birmingham PD regarding social media posts about a man in a black Nissan Maxima allegedly involved in the shootings detectives with the Birmingham PD spotted the suspected vehicle in a Bessemer Walmart parking lot The detective requested help from the Bessemer PD and Jefferson County authorities The driver then abandoned the vehicle and fled on foot A perimeter was set up with the help of Bessemer PD the Jefferson County Sheriff's Office Birmingham PD described the shootings as road rage related "Our success in apprehending this dangerous individual was the result of dedicated teamwork between law enforcement agencies," said a spokesperson for the Bessemer Police Department "This should serve as a reminder that when agencies come together we can bring violent offenders to justice and make our communities safer." The Bessemer Police Department is urging anyone with information related to this incident to assist with the investigation Individuals can contact the Criminal Investigations Division at (205) 481-4366 or the main number at (205) 425-2411 Those wishing to remain anonymous can call the tip line at (205) 428-3541 AL (WBMA) — The Birmingham Police is investigating a fatal crash that occurred Friday night around 8 p.m The Jefferson County Coroner says 33-year-old Kendrick Lawayne Robinson of Marion Ohio and 38-year-old Michael Anthony Walker of Birmingham both died after the Chevrolet Trailblazer they were in hit a tree The Birmingham Police Department is investigating the crash Voice AI isn’t just an upgrade to software’s UI It’s transforming how businesses and customers connect Despite telephony being an over 150 year-old technology voice still remains the dominant mode of communication for most businesses businesses rely on phone-based communication to convey nuanced information more effectively provide more personalized support or services We’re in the midst of a Cambrian explosion of voice AI infrastructure that has driven our conviction in the market opportunity in this space Developers are in a better position than ever to integrate AI voice capabilities into their products and services to help eliminate long wait times and scale voice agents infinitely to meet spikes in customer demand any time of day or night and managing conversational voice agents at scale is a substantial challenge This is why we’re thrilled to lead Vapi’s $20 million Series A financing Vapi is building the leading developer platform for conversational voice agents abstracting away the complexity of building these agents and managing real-time infrastructure and making it easy for anyone to deploy human-level voice experiences Vapi provides a 10x improvement on the development experience for voice agents Its elegant platform solves the hard engineering problems required to manage real-time voice infrastructure and build enterprise-grade voice agents including the orchestration of third-party speech-to-text (STT) models Vapi’s architecture is carefully designed to help developers create agents that sound lifelike without sacrificing the control and determinism that enterprise customers demand From its proprietary real-time audio model that can discern speakers’ emotional inflections This level of detail stands out because it addresses a core enterprise AI problem: AI models are probabilistic in nature yet highly regulated industries—think financial services and insurance—require deterministic output Vapi solves this conundrum by breaking conversational flows into digestible Our conviction to lead Vapi’s Series A came especially from our strong belief in its team customer obsession and product velocity matter far more today than ever before We’ve been impressed by how quickly cofounders Jordan Dearsley and Nikhil Gupta have built a robust platform with a vibrant community of enthusiastic developers The two Waterloo engineers have iterated extremely quickly—it’s not uncommon for us to hear that a feature request made on a Friday evening is in production on Saturday morning and customers praise its ergonomic developer experience and the rest of the Vapi team as they enable developers to dream bigger about the range of voice experiences they can power