Artemis is a growth fund backing the founders building physical AI — robotics, autonomy, embodied systems, and the software that teaches atoms to think.
Foundation models taught machines to read and speak. The frontier now is teaching them to act — to perceive, plan, and move safely in environments they were never explicitly programmed for.
Artemis invests at the point where neural networks meet actuators: the factories, roads, warehouses, and skies where software becomes consequential.
We write conviction checks and stay for the long arc. We have seen what it takes to ship autonomy at scale — and what it costs when you get it wrong.
15 years in tech companies as engineering executives in the Bay Area. Previously led infrastructure at a top-tier AV program, where he scaled a fleet from research prototype to commercial deployment. Prior: engineering leadership at a Tier-1 autonomy stack, early employee at Twitter/X/Uber/Lyft. He started Artemis because the next wave of autonomy will not be won by the companies writing the best papers — it will be won by the ones that can ship.
Serial entrepreneur, builder, operator, and investor. Partner at IMO Ventures and an active angel investor based in Silicon Valley, with prior experience at HTC Vive, IDEO, and FreeS Fund. Across his investing and operating career, Thomas has backed and helped scale 100+ startups, including 8 unicorns, 4 IPOs, and 5 acquisitions. He holds a Master of Management from Stanford University as a Sloan Fellow, a Master's in Engineering from the University of Michigan, and a Bachelor's in Applied Physics from Fudan University.
Former AI/data engineering executive at Meta, Microsoft, and Amazon with 15+ years of experience. Now an investor focused on frontier AI, infrastructure, and physical AI. Deeply embedded in top-tier investment circles, with strong relationships across frontier founders and leading venture funds.