AI Engineers Presents: Founders to Follow
Six SF founders took the stage this month, ranging from early seed to post exit, and gave the room a real look at what they're building and why. Between pitches, engineers, investors, and operators traded notes over pizza and beer. If you missed it, the video below covers all six talks plus the individual segments.
Full Presentation Video
Watch all six founders back to back, from healthcare AI to fraud detection to gaming infrastructure. Each one covers what they're building, the hardest technical problem they're solving, and a key call they made on the business side.
Individual Speaker Videos
Rebecca Liao, Saga
Saga's founder talked about building infrastructure for AI agents at massive scale, including a network of autonomous game characters that has already processed over 23 million transactions and $2 billion in value. The talk got into what it takes to run agents, gaming, and financial systems on the same rails.
Allocate
Allocate walked through what it actually takes to bring transparency to private markets, a space that's traditionally been opaque and relationship driven. The talk covered the three pillars of curation, how feeder vehicles and the tech stack behind them work, and how automating LP and GP onboarding cuts out a ton of manual back and forth.
Steven Kollars, RadiantGraph
RadiantGraph's founder shared how they turn messy, disconnected health data into something providers can actually act on. The talk focused on identifying high risk patients earlier and making outreach feel less like a form letter and more like it's actually tailored to the person.
Matt Hoffman, Mento
Mento's founder made the case for a coaching model that goes beyond mindset work into real skill building, pairing mentorship with certified coaching from experienced executives. The talk covered why traditional coaching often falls short and what Mento does differently to actually move performance.
Timothy Hyde, Baselayer
Baselayer's founder broke down the problem of verifying who a business really is, and why banks and lenders still rely on slow manual reviews to catch fraud. The talk covered how Baselayer pulls together scattered data sources to make underwriting decisions instant instead of days long.
Want to be in the room next time? Head to https://luma.com/sfaiengineers to catch the next SF AI Engineers meetup or explore who's hiring right now.