Ashley McEnery

🚨NEW EPISODE: Recorded live at FUTURE TITANS 2026 - Jeff Perry of Carta sat down with the iconic Seth Levine, co-founder of Foundry. Seth has been in venture for 25 years, built Foundry from scratch as an emerging manager himself, and has backed about 50 emerging manager funds through his fund of funds. He has genuinely seen every side of this table. They went deep on building Foundry, why VCs are in the influence business, not the decision business, and why the concentration problem in venture is not only bad for LPs, but also for the innovation ecosystem overall. And why Seth's new book, Capital Evolution, is so important for the future of America. 🎧 Links to listen... Apple: https://lnkd.in/ehQUQ2EM Spotify: https://lnkd.in/eU4FExpg

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Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs

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Every hire, product feature, and GTM experiment is a capital allocation decision, most teams just don’t call it that. I’m kicking off a 3-part series on capital allocation for founders, operators, and finance leaders with a simple question: ➡️ Will the next $1 you deploy become worth more than $1? Series overview Part 1: defines the core concept + the math Part 2: where capital goes + how to measure whether it’s working Part 3: AIMS framework for communicating allocation decisions to management teams and your board Part 1 (attached here) lays the practical foundation: 🔹 The $1 invested test and ROIIC vs. hurdle rates (scoreboard vs. decision lens) 🔹 A lightweight “investment brief” to evaluate bets (GROW / BUILD / BUY) 🔹 The small metric toolkit that translates finance into operating decisions (NPV / payback / ROIIC / incremental margin) 🔹 Early-stage proxies when DCF inputs are unknowable (burn multiple + revenue quality) 🔹 Operator “vital signs” to spot drift early (profit engine, leverage, cash conversion, optics) Series Roadmap ✔️ This series (Parts 1–3): breadth-first. shared, lightweight framework to define value creation, choose decision-grade metrics, and communicate tradeoffs clearly ✔️ Next series: depth-first. momentum drivers + operational decisions that need near real-time measurement to spot drift early and course-correct fast Read Part 1 here and Part 2 and 3 on substack. Next Series will be out next week. 💰 What’s one bet you’re funding right now, and how will you prove it’s working?

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I’m lucky to work alongside colleagues like Richard Fruehauf, who constantly push my thinking. His latest piece unpacks why U.S. robotics and drone manufacturing faces uphill economics, and how public policy can help turn the tide. One key takeaway: 232 tariffs on robotics imports could help reset the economics that are holding back U.S. investment and production. It’s a sharp perspective on how policy can shape the future of advanced tech here at home. Well worth a read: https://lnkd.in/edMPTQPQ Richard Fruehauf, Robert J. Szczerba, Michael Lutzky, Edward Ovando, Karl Sanchack, Herman Herman, Jeff Legault, Phil English, Richard Fruehauf, Ryan Aument, Michael Guido, Sheila Fitzgerald Sterrett, David McCormick

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I’m thrilled to share that White Star Capital is backing AMI - Advanced Machine Intelligence in their historic $1.03bn seed round 🚀 - Led by the legendary Yann LeCun and Alex LeBrun. AMI isn't building another LLM, they're building World Models. Why this matters: *Beyond Text: Grounded in JEPA architecture to solve physical-world problems. *Global Powerhouse: A dream team from Meta FAIR, OpenAI, and DeepMind. *Sovereign Tech: A credible European-led alternative to US Big Tech. Excited to be part of this journey along with the rest of the WSC team Eric Martineau-Fortin, Matthieu Lattes, Bérénice Moustial and Victoria Pozzi Rocco Belforti. 🌍✨ https://lnkd.in/eiCKZKSQ #VentureCapital #AI

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If you know... A 10x engineer Who loves the speed and intellectual challenge of early stage but also Wants job stability and Equity diversification then This is the one job that checks all of their boxes

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Thrilled to announce our investment in CtrlB! Privilege partnering with founders like Adarsh, who are deeply obsessed with the problem they’re solving - a true force of nature. CtrlB is redefining enterprise observability, building a next-gen telemetry engine that makes search up to 10x faster and 90% cheaper. In an era where enterprises generate terabytes of data every day, CtrlB is closing the gap with a fundamentally new approach to ingesting, indexing, and querying petabyte-scale data - enabling teams to gain real-time visibility without trade-offs between cost and speed. #funding #startups

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Pumped to double down on the overlooked software founders who have their head down delivering the future in their industries—especially those tired of choosing between bootstrapping or taking excessive VC $$ with boom or boost expectations. Onward!

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"Build the event you wish existed" That's what we at Monadical did last week at #NYTW. We wanted an AI Engineers discussion for Engineers. There's always a lot of events out there for VCs to network, or for startups to learn about G2M, but very little on lessons learned from actual engineers in the field. So that's the event we hosted. Big thank yous to our awesome panel, Roy Pereira, Ben Cohen and Corey J. Gallon. Here's the key takeaways and the AI tools we're using. 🚀 All three panelists independently called AI Agents the most transformative LLM application they’ve used. They specifically called out Claude 3.5 Sonnet for its accuracy and reliability. 🪨 We dug into how LLMs are “jagged”, not general. They can be shockingly good at some tasks and completely fail at others. Everyone agreed: good evaluations are critical (and hard.) 🧪 Corey noted how public benchmarks and reality are two different things. Most public evals are saturated or gamed. ♊ Ben emphasized that AI projects are actually two projects: building the tool and building the evaluation process. 🧱 We explored how falling dev costs may impact startup defensibility and labor demand. Roy shared that founders are already shifting strategies in response. ⚒️ In a world of daily AI launches, the panel discussed how they decide what’s worth attention, and what’s just noise. They called out tools like Goose, Aider, Claude Code, and Monadical’s own Cubbi, which helps run agentic workflows safely in dev environments. (links in the comments). CTA: What would you want to hear in an AI Applied Engineering talk you attended?

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Summary: The venture firm CRV has raised $750 million for its 20th flagship fund, which will focus on investing in early-stage startups, particularly in the consumer and devtools sectors. Key takeaways: CRV's new fund is smaller than their previous one, but still received strong demand from investors. The firm has a history of successful investments, with 80 startups eventually going public since its founding in 1970. CRV is shifting its focus away from late-stage rounds, citing lower overall returns, and towards seed and Series A investments. Counter arguments: Some may argue that CRV's decision to not raise another late-stage fund could limit its opportunities for growth in the future. The success of the new fund will ultimately depend on the performance of the startups it invests in, which can be unpredictable in the volatile tech industry. #venturecapital #fundraising #startups https://lnkd.in/g8d-N9jX

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From the beginning, we believed Lumana was building much more than a smarter surveillance tool. Lumana's platform reflects the next evolution in video intelligence — physical AI. This approach enables systems to go beyond basic detection capabilities to understanding context, infer intent, and deliver real-time insights that improve safety and operations at scale. Further, we decided to take the longer and more difficult direction of building a whole new generation and fully featured Video Management System (VMS). With the company’s $40M Series A, led by our friend Peter Wagner from Wing Venture Capital and our seed partners from SCAPITALVC, we’re doubling down on a platform that’s already proving its value in the real world. We are serving now close to ten thousands enterprise cameras in production! Founders like Sagi Ben Moshe bring a rare mix of vision and execution to the table. From our earliest conversations as an EIR at Norwest, it was clear that Lumana had the potential to reshape how organizations use video. Congratulations to the team on this well-deserved milestone. https://lnkd.in/gwHdaGPZ

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Dayna Grayson is a leading VC who has “sat in every chair” at a young age. She founded Construct Capital with Rachel Holt, an early leader at Uber. Together, they are tackling the digitization of industry. Dayna will discuss macro trends, what it takes to be a founder, and the potential for AI. She is one of the few who have successfully blended a career of operations and investing.  Check out our discussion at: https://lnkd.in/eYBUGjbW #leadershipdevelopment

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Great conversations at our WillowTree Ventures dinner with leaders across fintech and AI. A few themes stood out strongly: enterprises are leaning into AI for real efficiency gains, product and engineering orgs still set the agenda, and the whitespace in “boring” industries is wider than most people assume. It’s clear that the next breakout companies in AI for financial services won’t come from the obvious places. Thanks to everyone who joined - excited to keep working alongside founders building in these non-obvious, high-impact wedges.

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What kind of mindset does it take to go from building data systems at Palantir, to leading engineering at Komodo Health, to becoming CEO of Particle Health – and suing one of healthcare’s largest incumbents? Jason Prestinario is a First Builder through and through. As CEO of Particle Health, his mission is to fix patient data interoperability, so your primary care doctor, specialist, and surgeon can all make decisions using the same complete health record. What a concept, right? And yet, it’s far from reality. That’s why Jason and the team at Particle are now suing Epic, one of the industry’s largest incumbents, to push for real change. We talked about how he approaches challenges of this scale, and what keeps him grounded in the process. We sat down with Jason to talk about this and much more. Hope you'll enjoy this spicy and insightful episode! Link in comments 🌶️ 👇

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Much of the money and time in healthcare happens past the point of diagnosis. The money: $200B of spend on specialty drugs. The time: putting patients on therapies requires clinical judgment, and navigating a labyrinth of paperwork and people. The result is a byzantine status quo where patients get life saving therapies denied or delayed, and hospital systems capture only $80B of the $200B of drug spend that they originate. Latent’s groundbreaking clinical AI is a portal into the future. Patients get therapies quickly with personalized care, and hospitals transform their bottom line. As a result, Latent has seen extraordinary traction, working with over 50% of the top 20 U.S. health systems in under a year. Latent is one of the biggest and most strategic opportunities in healthcare, sitting in between providers, payors, patients, and pharma. Spark Capital is delighted to support Rishabh Jain and Sriram Somasundaram and this consequential company and to work with Sarah Guo and Michael Dixon.

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🦄 $150M to improve tutoring and education globally. Preply just announced a new round, putting the company on a clear trajectory to become an iconic global marketplace. In a world obsessed with fast wins and volatile growth, some companies quietly beat their goals year after year — for more than 6 years in this case (as long as we’ve at Acurio Ventures been partners). A few learnings from this journey, relevant for founders and investors: Pick a growing market with an unsolved problem. 2 out of 8 billion people globally are learning a second language. Despite many options, outcomes are still poor. Our original thesis was simple: if you build the reference platform, everyone who wants to learn will eventually come to you. Category leadership matters. When we backed Kirill Bigai and Dmytro Voloshyn back in 2019 (together with Rob Kniaz), there were dozens of similar startups. Small details showed Preply had already built a superior tutor base and a scalable growth engine. Build a product customers love. Speaking a language and teaching it are very different things. Preply transformed the learning experience by combining a motivated base of +100,000 tutors with tools that actually drive outcomes. Never stop experimenting. Few companies maintain a strong experimentation culture as they scale. Preply’s DNA reminded me of Booking.com — enabling them to execute 10x better than most marketplaces. Great companies turn every change into an opportunity. From riding the post-COVID shift to online learning, to betting early and heavily on AI as Dmytro Voloshyn has excelled at. What once sounded like sci-fi is now reality. Great companies become talent magnets A company maturity can't be addressed only by looking at the revenue, profit or product. I like to see how much better they become at attracting talent and retaining it. Proud that Acurio Ventures made this possible and the WestCap team saw things as bullish as we do and are now supporting the next phase of Preply’s journey. Huge congratulations to the entire Preply team!!

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HealthVC x Lusha: Unlocking Smarter Fundraising and Sales Workflows We’re thrilled to announce our newest partnership: HealthVC has teamed up with Lusha to bring next-gen data and prospecting tools to founders, fund managers, and operators across our community. Lusha recently launched a powerful suite of AI-powered features that redefine how go-to-market teams research, prospect, and convert. Now those capabilities are coming to HealthVC Pro subscribers. ✨ With this partnership, you’ll be able to: Surface real-time, accurate, and compliant B2B contact data Use AI Prospecting Chat to instantly uncover new investor or customer leads Tap into CRM-triggered recommendations to stay one step ahead Turn insight into action with Sales Streaming, Lusha’s smarter, connected selling framework. But Lusha’s superpower isn’t just the AI; it’s that the AI sits on top of best-in-class data. That means every signal, every recommendation, and every lead is not just fast, it’s trustworthy. At HealthVC, we’re building more than a newsletter; we’re building the operating system for venture, and this partnership helps our members move faster, pitch smarter, and close better. Available now to all HealthVC subscribers, link in comments.

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