Redpoint

We're thrilled to announce imper.ai's $28M funding round along with our partners at Battery Ventures and Maple Capital. Founded by Noam Awadish, Anatoly Blighovsky and Rom Dudkiewicz, imper.ai is tackling one of the most critical challenges in cybersecurity: the erosion of digital trust. The rise of AI-powered deepfakes and voice clones has created an inflection point in the market. By 2027, identity attacks are projected to drive $40 billion in AI-based fraud in the US alone. Social engineering attacks exploiting compromised identities are no longer edge cases; they're a primary vector for financial losses. The imper.ai team brings together very deep expertise from their service in the IDF. They've witnessed firsthand how traditional defenses fall short against modern threats, shaping their mission: to restore digital trust through real-time detection that's simple to deploy, privacy-preserving, and effective at first contact. 🎉Congratulations to Noam, Anatoly, Rom and the entire imper.ai team. We're grateful to be on this journey with you!

This November, we welcomed new team members, partnered with bold founders, discussed groundbreaking product launches on Unsupervised Learning, and celebrated portfolio milestones. Here's what happened: 🚀 Welcomed Renee Shah, Tanya Jomaa, and Ann Maris Walton to the Redpoint team. 💼 Led investments in Function Health ($298M Series B), Giga ($61M Series A), Maxima ($41M Series A) and continued our support of Scribe ($75M Series C). 🏆 Ramp raised $300M at a $32B valuation 🎙️ Hosted the first long-form interview with the Sora team on Unsupervised Learning. More within our November Review 👇

Join us in welcoming our three newest Redpoint team members: Renee Shah, Tanya Jomaa, and Ann Maris Walton. 🔐 Renee brings deep expertise in developer tools, infrastructure, AI, and security investing. Renee joins our early stage team where she will primarily lead Seed and Series A investments. She's backed companies like Chainguard, Buf, and Diagrid from her previous five years at Amplify Partners. 🎉 As an investor on our early-growth team, Tanya channels voracious curiosity and sharp execution into helping founders scale their visions into enduring businesses. Before joining Redpoint, she worked at Morgan Stanley, where she took category-defining companies like Figma and Reddit public. 🚀 Ann Maris combines a passion for storytelling with a desire to help our founders share their vision. Prior to Redpoint, she was a member of Spencer Stuart’s Consumer Retail Team where she executed CEO and Board searches. Ann Maris joins our Founder Experience team where she focuses on content strategy and producing our AI podcast, Unsupervised Learning. Welcome to the team, and we are so incredibly excited to work alongside the three of you!

As U.S. funding rounds reach new heights, a question keeps coming up among European founders: how do you access that capital — and when does it make sense? Last week, Meera Clark headed to Helsinki for Slush, Europe's flagship tech conference. She sat down with Gabriel Vasquez, Alex Ferrara, and Leah Hodgson to discuss how US capital shapes European startups. A few takeaways from the conversation: ▪️ The bridge between the US and Europe has never felt shorter. Companies are thinking about cross-Atlantic GTM earlier in their lifecycle. ▪️ Cross-border investing requires collaboration. The best outcomes happen when US and European investors work together rather than competing for allocation. ▪️ With investments in companies like Anam, Attio, Legora, n8n, and more, Redpoint is leaning into European founders tackling opportunities in AI infrastructure, workflow automation, and vertical AI. 🎉Looking ahead to 2026, we have high hopes for this ecosystem!

VCs Planning Friendsgiving

The 8 top take-aways from Jacob Effron appearance on Nick Moran’s Full Ratchet podcast. 1. Great wedges in AI —> The strongest wedges are products where AI creates a step-change in the user experience. In verticals like healthcare and legal, the teams with real traction are the ones solving high-ROI use cases that end users actually love, not ideas pushed by “innovation teams.” The best wedges also create room to expand into a broad surface area of product over time. 2. Evolved thinking around “owning the data” —> Early on, we expected defensibility to come from proprietary data (own the data, own the model). What’s become clear is that you often don’t need massive datasets to apply RL effectively; data alone rarely creates a moat. Understanding evals, building great workflows, and iterating quickly matter far more than sitting on unique data. 3. Where we’re seeing the most traction —> Coding, customer support, healthcare, legal, logistics, and voice interfaces are showing real product-market fit and meaningful revenue scale. These are categories where AI already delivers material improvements in accuracy, speed, or cost. Other areas, like go-to-market, likely need another step-change in model quality before the value fully lands. 4. Why healthcare and legal are great markets —> Because quality truly matters—no one wants the “80% right but cheaper” hospital or law firm. That dynamic pushes the market toward the highest-performing systems, not the lowest bidder. Both sectors also face deep access challenges, which creates room for AI to expand capacity rather than simply replace existing spend. S/o Abridge and Legora 5. Reaction to “T2D3 is dead” —> Hyper-growth benchmarks aren’t dead, but AI has reset expectations. Some AI companies are growing so fast that the historical T2D3 profile now signals “good,” not “category-defining.” But businesses growing at traditional T2D3 levels can still be strong; they just may not represent the deepest product-market fit in AI. 6. Domain experts versus young, cracked teams —> Both archetypes win. The scrappy, technical founders have an easier time getting into rooms that used to be accessible only to deep domain experts, but domain-native CEOs still have an advantage when it comes to understanding second and third product acts. 7. What’s overrated in AI —> The idea that software disappears and everyone simply generates UIs on the fly is highly overestimated. Building software is hard—but maintaining it across teams, standards, and organizations is even harder. Incumbent software models will evolve, but the notion of a “post-software world” is unrealistic. 8. Biology is underrated —> The most interesting breakthroughs are coming from adjacent model types that rely on new kinds of data, not just the LLM progress everyone focuses on. He sees real research advances and unprecedented capital flowing into these fields, which together could produce significant model breakthroughs over the next 5–10 years.

Last year had the highest number of U.S. companies with material misstatements, with some experiencing up to 40% stock price drops as a result. "We're not going after human labor salary. We're going after errors, inequity, and pain." Yogi Goel joined TBPN to breakdown how Maxima’s auditable AI agents automate your most painful close workflows, so your team stays in complete control.

Today, we're thrilled to lead Function Health’s $298M Series B and partner with Jonathan Swerdlin, Mark Hyman, MD, Neil Shah, Pranitha Patil, Seth Weisfeld and team. Function is redefining preventive healthcare by making comprehensive health insights accessible to everyone. Through routine whole-body lab testing, advanced imaging, and access to world-class physicians, Function empowers members to pursue 100 healthy years. The founding team brings together deep healthcare expertise and personal conviction. They've lived through health challenges that shaped their mission: to place exponential health technology directly in patients' hands while putting privacy first. 🎉 Congratulations to the entire Function team. We're honored to partner with you as you help people own their health and pursue a lifetime of feeling their best.

Today, we're thrilled to lead Function Health’s $298M Series B and partner with Jonathan Swerdlin, Mark Hyman, MD, Neil Shah, Pranitha Patil, Seth Weisfeld and team. Function is redefining preventive healthcare by making comprehensive health insights accessible to everyone. Through routine whole-body lab testing, advanced imaging, and access to world-class physicians, Function empowers members to pursue 100 healthy years. The founding team brings together deep healthcare expertise and personal conviction. They've lived through health challenges that shaped their mission: to place exponential health technology directly in patients' hands while putting privacy first. 🎉 Congratulations to the entire Function team. We're honored to partner with you as you help people own their health and pursue a lifetime of feeling their best.

Ramp’s momentum is extraordinary. This year they crossed $1B in revenue, underlying profitability is growing 153% year over year, and their AI agents made over 26 million decisions on $10B+ in spend in a single month. Those decisions prevented hundreds of millions in out-of-policy transactions, moved idle cash into higher-yield investments, and blocked sophisticated AI-generated fraud attempts. Their customers are seeing a new standard for financial intelligence emerge in real time. Congratulations to Eric Glyman, Karim Atiyeh, and the entire Ramp team on raising $300M more in funding - we're fortunate to play a small part in your iconic journey!