Savant Supper: Friendsgiving Edition

​Building at the frontier is rarely a solo endeavor. Behind every ambitious idea is a community of people willing to take risks, challenge assumptions, and help each other build what doesn't yet exist.

​This Thanksgiving season, Savant is bringing together a small group of exceptional founders, researchers, and builders across robotics and Physical AI for an intimate Friendsgiving supper at the Savant lab in San Francisco.

​As the year winds down, we're taking an evening to celebrate the people who make this community special. Over good food and even better company, we'll share stories from the trenches, reflect on the year's breakthroughs (and setbacks), and trade notes on what's ahead for Physical AI.

​No panels. No pitches. Just good food, thoughtful conversations, and a highly curated room of people building at the frontier.

​Come hungry, leave with fresh perspectives, new connections, and ideas worth building.

​Doors open at 6:00 PM. Dinner & hors d'oeuvres will be served at 6:30 PM.

​📍 Savant Labs (San Francisco)
📅 Thursday, November 19th
🕕 6:00–8:30 PM

​About the Host:
Savant: Savant is a physical AI community and venture fund for exceptional builders searching for their good quests: ideas that's hard, consequential, and civilization-defining. Join as a Savant Resident to explore your quest with a talent-dense group of peers, prototype in our 6,200 sqft hardware lab in SF, and get deep support from our team—equity free. When you're ready to build, we write the first check.

​Rho: Rho is the all-in-one banking platform for startups and the accountants supporting them. With banking setup in minutes, 2% cashback cards, and powerful tools for managing spend, paying bills, and closing the books, Rho helps high-growth startups move fast and stay focused, backed by support that goes to the end of the earth to help you win.

​Nebius: ​Nebius is a full-stack AI cloud built for teams training, deploying, and scaling advanced AI systems. Its infrastructure supports large-scale GPU workloads across training, inference, synthetic data, and Physical AI — making it especially relevant for builders working on simulation, robotics, and real-world deployment.