Articles by Alex
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Strategic AI in MarTech
Strategic AI in MarTech
In February 2010, Watson, IBM’s AI computing system, defeated two Jeopardy! Champions. Five years and one month later…
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7 Ways AI Can Reduce Churn For OTT Services
7 Ways AI Can Reduce Churn For OTT Services
Launching an OTT subscription service is hard. It involves building infrastructure, delivering experiences across…
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Activity
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Alex Holub shared thisI have some big news. Doyen AI was acquired by Sage! When Ryan Gomes and I founded Doyen, our goal was to leverage AI to rethink enterprise implementations, making them faster, more reliable, and less manual. We had the opportunity to work with Sage as one of our first design partners, and couldn’t be more excited to continue our journey with Sage. We wouldn’t have reached this milestone without the exceptional team at Doyen. First and foremost, I’d like to thank my co-founder Ryan, one of the best engineers and applied AI builders I’ve ever worked with. He led our product and technology to where it is today. A big thank you to the exceptional team who joined us on this journey: Chris Vasquez, Chris Schoener, Matt Gentile, and Ethan Casteel. We wouldn't be here without each of your contributions. The entire team at Sage has been incredible to work with. I’m especially appreciative of everyone who played a key role in bringing us on board including Aaron Harris, Dan Miller, Keith Maldin, Pippa Crowley, and Jess Chee. It takes a village to build a company. Thank you to everyone who made introductions, made early angel investments, and offered strategic guidance over the past two years including: Jeremy Levy, Abhik Majumdar, Alan Nicolas H., Ryo Koyama, Vidya Raman, Siri Srinivas, Philip West, Derek Taylor, Nitay Joffe, Eric Chernoff, Andrew Lau, George Khachatryan, Ryan McNally, Matt Pasienski, Belsasar Lepe, Alexander Dean, Abhay Parekh, Michael Katz, Chet Kapoor, Ziv C., Vikram Makhija, Sam Graham, Michael Stoppelman, Jason Davis, Benjamin Chun, Yoichiro Taku. To our institutional investors, thank you for believing in us from day one. Gradient, Sorenson Capital, Tuesday Capital, and Hyperplane. You can read more details on the acquisition here: https://lnkd.in/ecawsKkG The coming months will be really exciting as we integrate AI-powered implementations more deeply across Sage products. I can't wait to share more. Here we go!
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Alex Holub shared thisThoughtful take from Jamin Ball on the evolving system of record. Worth reading for folks in the ERP, Billing, Financial ops space. The basic premise is that systems of record aren't going away. The need for stronger source of truth and tighter data governance will increase as agents and cross-product workflows proliferate. The way we interact with sources of truth will change (the UI), but the value of the underlying data and governance will increase. https://lnkd.in/eX9Rs_5f #SystemOfRecord #DataGovernance #EnterpriseSoftware #AIinEnterpriseClouded Judgement 12.12.25 - Long Live Systems of RecordClouded Judgement 12.12.25 - Long Live Systems of Record
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Alex Holub shared thisGood practical take from Wade Foster on the continuum between Workflows -> Agents and how to get the most out of (current) AI today in the real world. https://lnkd.in/eaet5kqnAI Agents, Clearly Explained in 40 Minutes | Wade Foster (Zapier)AI Agents, Clearly Explained in 40 Minutes | Wade Foster (Zapier)
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Alex Holub shared thisTwenty years ago client-server reshaped software. Today probabilistic AI is doing the same. The exciting part? Engineers get to invent the interfaces and guardrails that will define this new era. We are hiring great engineers at Doyen! https://lnkd.in/ecE24TSp #AIEngineering #HumanInTheLoop #DataMigration #LLMsHuman-in-the-Loop: On Designing Successful Enterprise AI SystemsHuman-in-the-Loop: On Designing Successful Enterprise AI Systems
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Alex Holub shared thisAccounting hasn’t had its AI breakout moment ... yet. We've seen llm success in verticals like Law (Harvey), Support (Decagon), and Coding (Cursor). Why not Accounting? The path to value with LLMs is harder in Accounting. But there is a path. And, with a bit more work, Accounting is poised for its own AI moment. New post: Accounting Is Poised for Its AI Moment https://lnkd.in/e_bjekG5 #AI #Accounting #EnterpriseAI #LLMs #CFO #Fintech #Doyen
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Alex Holub shared thisWhat does it mean to be an AI-Native product? It doesn't mean using an LLM. It's about designing a product for when the LLM is wrong. Especially when you're working with financial data, trust, reconciliation, and validation aren't optional. #AINative #AIProductDesign #HumanInTheLoop https://lnkd.in/e5GVN2TG
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Alex Holub shared thisNo structure, no trust. Reliability and consistency are often missing with LLM-based AI. In enterprise systems—like billing, ERP, and financial reporting—reliability isn't optional. At Doyen AI, we're leveraging AI scaffolding to bring predictability and auditability to complex workflows. It's not about restricting AI, but guiding it to produce consistent, compliant outputs. Here's an overview of how we're making AI work reliably in the enterprise: 👉 https://lnkd.in/ewsezKWQ #EnterpriseAI #AIEngineering #ReliableAI #SoftwareInfrastructure #StartupJobsNo Structure, No Trust: Building Reliable AI for Enterprise SystemsNo Structure, No Trust: Building Reliable AI for Enterprise Systems
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Alex Holub shared thisSoftware is eating messy problems. Andreessen said software would eat the world. But financial data? It’s still a tangle of contracts, revenue schedules, and exceptions. At Doyen AI, we’re building tools to bring structure to that chaos—so finance teams can trust the numbers. Here’s how we think about it: 👉 https://lnkd.in/eZsS5Y4u We’re hiring. If you’re excited about pushing the boundaries of AI reliability on real-world data—let’s talk! #datamigration #ReliableAI #AIEngineering #StartupJobs
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Alex Holub shared thisBuilding startups in the age of AI. Thoughts on how AI tools can help startups accelerate, conserve resources, and empower early hires to do more with less. https://lnkd.in/eeuvnpxC #AI #Startups #AIToolsWhat a difference AI makes: Building Startups in the Age of AIWhat a difference AI makes: Building Startups in the Age of AI
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Alex Holub liked thisAlex Holub liked thisThe GV (Google Ventures) team is thrilled to co-lead Sierra's Series E! We’ve spent the last 3 years deepening our relationship with Bret Taylor and Clay Bavor - making customer and executive intros, sharing market insights, incessantly texting "Sad Ben Affleck" memes, and once hauling a 6-foot replica of the "Believe" sign from Ted Lasso across town to Sierra's office. Our conviction stems from a simple truth: Clay and Bret are product visionaries. Global brands pour nearly $1 trillion annually into marketing, yet when customers reach out for help, they often encounter long hold times, convoluted IVRs, and the frustration of yelling "representative" at their phones. Sierra is leveraging AI to transform that paradigm for the largest companies in the world, including 40% of the Fortune 50. What started as a way to improve customer satisfaction and resolution rates has evolved into something much larger. Today, Sierra’s Agent OS is helping companies drive sales, manage subscriptions, process payments, and transform contact centers. Sierra is turning one-off conversations into lasting customer relationships. Or, as Bret and Clay say, they are building "The Happy Customer Machine."
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Alex Holub liked thisAlex Holub liked thisCool interview with Naveen Rao on the future of compute.The $475M Bet to Build 1,000x More Efficient Compute | Naveen Rao, Unconventional AIThe $475M Bet to Build 1,000x More Efficient Compute | Naveen Rao, Unconventional AI
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Alex Holub liked thisAlex Holub liked thisDenver Official Cybersecurity Summit was a great one. Thanks to everyone who joined Roger Renecke, Principal Solutions Engineer at Cerby, for the session Closing Identity Gaps at Scale and the conversations throughout the event. And yes… the Cerby pups and Cerby coffee cups were a hit once again. ☕🐶 Great discussions, great people, and a lot of interest around extending identity controls to disconnected applications. See you at the next one.
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Alex Holub reacted on thisAlex Holub reacted on thisLowenstein Sandler LLP represented Petual in its $20 million fundraise led by Andreessen Horowitz, helping advance its AI-driven approach to audit and enterprise compliance. #artificialintelligence #venturecapital #startups #techcompanies #fundraisingLowenstein Represents Petual in Fund Raise Aimed at Bringing Agentic AI to Enterprise Audit and Compliance | Lowenstein Sandler LLPLowenstein Represents Petual in Fund Raise Aimed at Bringing Agentic AI to Enterprise Audit and Compliance | Lowenstein Sandler LLP
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Alex Holub reacted on thisAlex Holub reacted on thisA founder pitched me a 3 person startup that could replace a 40 person accounting department. I asked how. He said "I spent 16 years doing this job. I know every workflow, every bottleneck, every dumb thing humans do that a machine should handle instead. So I built the machine." Sales cycle is weeks. The pitch is simple. Pay us a fraction of 40 salaries. Work gets done faster with fewer errors. The customer doesn't have to think about it. This is happening everywhere right now. One of my portfolio companies in construction AI went 3x in a year. Another went from zero to $1.2M in four months. Tiny teams. Replacing entire departments. 55,000 US tech jobs were cut last year with AI cited as the reason. Everyone's calling it a crisis. I think it's the biggest startup opportunity since SaaS. Every department that gets cut is a company waiting to be built. Bookkeeping. Compliance. Legal research. Insurance claims. All of it. The catch is you can't just throw an LLM at it. The founders winning this wave spent years inside the industries they're disrupting. They know the invisible rules. The edge cases. The stuff that never makes it into a training dataset. The workflow that professional really use day to day. A strong, Tech and product oriented, experienced accountant building accounting AI could beat a CS grad building accounting AI. Right? What do you think?
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Alex Holub reacted on thisAlex Holub reacted on thisExcited to share that Homewerks Worldwide and Datavations have signed a multi-year strategic partnership. Homewerks is one of the most active brands in plumbing, bath, and ventilation at Home Depot, Lowe's, and across the home improvement channel. By adopting our Merchant Enablement Platform, the team is moving from reactive monitoring to a proactive market stance with SKU-level sell-through, pricing, assortment, and competitive shelf data flowing into the daily commercial workflow. That is the work that disrupts traditional Product Line Review cycles and opens the door to out-of-cycle adjustments backed by real-time data. It is the difference between reacting to a merchant conversation and shaping it. Peter Berkman and the Homewerks team are exactly the kind of partner we built this platform for. Sharp, ambitious, and willing to ask harder questions of their market. Huge thanks and congratulations to our friends at @Homewerks-Worldwide. Excited to keep building with you. How is your team turning market volatility into a competitive advantage? #Plumbing #BuildingProducts #RetailAnalytics #CategoryManagement #HomeImprovement #BathAndKitchen Source: HBSDealer. https://lnkd.in/geyPyCsV
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Alex Holub reacted on thisAlex Holub reacted on thisOne of the best decisions I've ever made was leaving everything behind. I was in my late 20s when I decided to move from Paris to the US. I had no responsibilities, just a job I was good at. And left all of it. To me, the math worked. I told myself, if all goes well, I’ll build a new life over there. If all goes wrong, I’ll just come back and be exactly where I was before I left. Only upside, from that perspective. Looking at it that way made it less of a leap and more of a no-brainer. There were fears, of course. Different language. Different way of working. I didn't know anybody. Would I be successful in the new job? Would I be able to make a life there? Build friendships? All of those questions crossed my mind. But I didn't let the fears stop me. I'm still in the US almost 20 years later. Made my life here. Built my career here. That decision became the biggest win of my life. And the mindset stuck. Bet on yourself. Take the risk if the downside is just going back to where you were. The worst case is rarely as bad as it feels in your head. That's the lesson I keep coming back to.
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Alex Holub reacted on thisAlex Holub reacted on this“The most aggressive adopters of AI are beginning to pull away from more hesitant competitors,” said Andrew Lau, CEO and co-founder of Jellyfish. “The role of the engineer is transforming as a result. Data is the difference between being overwhelmed by this wave of change and marshalling the new tools effectively to unlock new levels of AI potential. Organizations need hard data to drive measurable impact using AI coding tools and communicate their ROI to the C-suite and the board beyond.” Learn more about navigating the next wave of AI transformation here: https://lnkd.in/gvYe5t9t #SEMR26 #StateOfEngineeringManagement
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Patents
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Detecting facial similarity based on human perception of facial similarity
Issued US 7907755
See patentSimilar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information.
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Using relevance feedback in face recognition
Issued US 7783085
See patentImages are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result...
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AUTOMATIC TRACKING OF PEOPLE AND BODIES IN VIDEO
Filed US 12/468751
See patentA facial detection module detects faces in any frame in a video by applying at least two rectangles between the eyes of a face and other regions and calculating a difference in intensity between those regions. The intensities are used to generate face detections. A tracking module predicts the...
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Prashant Kelker
AMI and Yann LeCun are betting the real future of AI is specialized. Their take: world models built on JEPA that reason causally, plan under constraints, and work in messy real-world environments. Their Feb 2026 paper coins it: Superhuman Adaptable Intelligence (SAI). The idea in short is “Outperform humans on specific tasks, tackle domains we simply can’t.” Nabla (clinical AI) is already on board as AMI’s first partner. More architectural innovation instead of more compute. Curious to see where this goes. https://lnkd.in/gmB4k4EA
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Bacem B.
Wild. Anthropic just blocked xAI from accessing Claude, cut off OpenAI months ago for secretly benchmarking with it — AND cracked down on apps spoofing Claude Code to steal its pricing. Third-party tools were pretending to be Claude Code to get better rates and limits. Anthropic shut that door too. Let that sink in: competitors using your agent to build theirs. Developers faking your client just to access your model cheaper. That's not a problem. That's proof you've won. Claude Code exploded through the "Ralph Wiggum" phenomenon — devs brute-forcing problems by letting Claude just try things until they work. Messy but effective. Now Anthropic is building walls around it. The agentic AI era has its first trade war. We competed on parameters. Then benchmarks. Now ecosystems. The real moat isn't intelligence. It's the workflow. #AgenticAI #ClaudeCode #Anthropic #AIStrategy #FutureOfCoding #DevTools
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Tim Tully
Excited to share that we’re leading Inception’s $50M seed round, led by Menlo Ventures. Inception is taking a fundamentally different approach to AI — applying diffusion models (the technology behind image generation systems like Stable Diffusion) to code and text generation. While most AI companies are iterating on autoregressive models that generate text token by token, Inception founders Stefano Ermon (Stanford professor and diffusion model pioneer), Aditya Grover and Volodymyr Kuleshov are building models that refine outputs through iterative refinement. This architectural difference unlocks real advantages: Their Mercury model achieves over 1,000 tokens per second — significantly faster than traditional approaches. In a world where compute costs and latency are critical bottlenecks, this parallel processing capability is a game-changer. As codebases grow more complex and AI infrastructure costs become clearer, diffusion-based approaches offer meaningful advantages in processing large volumes of code and managing data constraints. Thrilled to back Stefano and the Inception team alongside Mayfield, Innovation Endeavors, M12, Snowflake Ventures, Databricks Ventures, NVentures, and angels Andrew Ng and Andrej Karpathy. https://lnkd.in/geRVjWRA #AI #VentureCapital #DeveloperTools
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Stefan Atanassov
🚨 Open-source AI isn’t just a tech issue — it’s a strategic imperative. Clément Delangue (Hugging Face) explains why the U.S. is now making open-source AI a national priority — in response to China’s rapid gains with open models like DeepSeek-R1. But here’s the real question for us in Europe: 🔍 Where is our open-source AI strategy?
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James Zammit
Voice AI is quietly hitting an inflection point 🔊 NVIDIA just published a great deep dive on scaling speech recognition for real-world voice agents - latency, streaming accuracy, robustness, and why “ASR quality” isn’t just about WER anymore. 👉 https://lnkd.in/enDUKHvG A few things that stood out: - Streaming + low latency is non-negotiable if you want natural conversations - ASR needs to handle interruptions, background noise, accents, and partial utterances, not clean demo audio - Scaling voice agents isn’t just model quality, it’s systems engineering If you want to actually try building or running voice agents instead of just reading about them, Pipecat is a great place to start: 👉 https://pipecat.ai This is the kind of progress that makes voice agents finally feel… practical. Not demos. Not prototypes. Production. Curious to see where the ecosystem lands this year 👀
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Jason Calacanis
Producer Claude just got an upgrade! Anthropic AI just dropped Claude Sonnet 4.5, their cutting-edge new model. But what makes the new Claude better than the old Claude? 💻 Faster code refactoring + debugging ⚡ Better workflows for messy, real-world tasks 🛠️ Easily processes incomplete reqs + legacy code These companies are making their models 2X better every year, but can they keep up this relentless pace? Alex Wilhelm and I consider the possibilities in this exclusive TWiST clip
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Charles F Manning
Claude Cowork: Welcome to IntegrativeAI. The announcement of Claude Cowork from Anthropic is a great signal and validation to what we are doing with StationOne. The release of Cowork validates one of our key arguments: Knowledge Workers and Teams don’t care to work from a developer IDE to leverage AI in their work environment. They also don’t think a cli or configuring .md files is an approachable productivity hack. Finally - embedded ai in a saas tool is cute - but not the end solution. That shift from ai prompt to integrated experience with the tools you use - is the core idea behind IntegrativeAI. It’s also exactly why we built StationOne and why we are starting with the advertising ecosystem for initial distribution: - Ads represents over $1T in spend - Supporting ads workflows and connectivity is directly inline with our business as a universal measurement company that runs along side all campaigns (mobile, ctv, web, ooh, influencers, etc) - Massive disruption is expected in the workflows of buying and managing ads and we want to give our customers a competitive advantage as they manage their workflows - AI pixie dust in a dashboard across 10 saas tools is not going to cut it when you need real productivity gain Now for what makes StationOne different from Cowork: - You can run multiple models side-by-side, using the right one for the job - Work happens inside workspaces that act as solution sets; not conversations - facilitating workflows that matter - Those workspaces can be shared across a company and its partner ecosystem - Other industry leaders can leverage workspaces for their industries (as we have done with ads) I promised myself that I would post as soon as someone built something even remotely close to StationOne as a validation to the IntegrativeAI category. Giddy up - this is it. Now the question is: does the market care about a universal integrative solution - or simply an extension to 1 Foundation Model provider. History would indicate that choice matters for enterprises.
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Amr Bannis, P.Eng.
A notable signal from the AI research community. One of the field’s most influential architects is prioritizing healthcare as the proving ground for the next generation of AI systems. The focus is on reliability. World models aim to reduce hallucinations, predict consequences, and operate within clear safety boundaries. That direction reflects a growing recognition that healthcare requires systems designed for continuous, noisy data and high-stakes decision support, not generic text generation. For healthtech builders, progress will come from targeted automation that strengthens clinical workflows, removes cognitive and administrative drag, and respects human oversight. Intelligent design earns trust when it makes care easier to deliver, not harder to practice
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Kerry Oslund
Scripps accelerating agentic AI at scale. Hot-swapable LLMs connected to sophisticated embedded prompts, secure proprietary data, tools, MCP connections and many-many time saving agents now available and many more in the bullpen. Incredible team effort and massive shared learning!
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Gennaro Cuofano
Yann LeCun, Meta’s chief AI scientist and Turing Award winner, plans to leave to launch his own startup which might be focused on “world models.” His departure underscores a widening philosophical divide: Mark Zuckerberg’s product-driven superintelligence pivot versus LeCun’s long-horizon cognitive modeling, a classic tension between foundational research and commercialization pressure. https://lnkd.in/dV5CitQr
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