open-weight-models
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Ioannis Antonoglou Learned to Make Machines Play. Now He Wants Them to Work for Everyone.
The Reflection AI co-founder helped build AlphaGo, AlphaZero and MuZero. His next wager is that powerful AI agents should be open enough for others to inspect, adapt and run.
Timothée Lacroix Builds the Machine Behind the Models
Mistral AI’s quiet co-founder spent years teaching machines to connect facts. Now he connects researchers, products and infrastructure - and keeps the expensive experiments moving.
Mark McQuade Started Small. Then He Bet $20 Million on Open-Weight AI
Arcee AI began by making other people’s models more useful. Three years later, McQuade and a compact team trained a 400-billion-parameter model of their own - and turned a career spent translating technology into a wager on ownership.
Understudy Labs
Understudy Labs is a San Francisco AI infrastructure startup (Y Combinator S26) that helps data-rich teams replace expensive frontier LLMs with smaller, specialized models they own. Its open-source toolkit captures production traces from existing agent workflows, benchmarks cheaper open-weight models against them, and only ships a replacement once a held-out evaluation beats the incumbent - promising comparable quality at a fraction of the cost and latency.
Featherless AI
Featherless AI is a serverless inference platform that gives developers and enterprises a single API key to run more than 40,000 open-weight AI models across language, vision, audio and multimodal tasks - without provisioning or managing any GPUs. Founded in 2023 by the team behind the RWKV open-source model architecture, the company sells flat-rate subscriptions with unlimited tokens and positions itself as a neutral infrastructure layer for open-source AI, independent of the major cloud hyperscalers. It raised a $20M Series A in April 2026 co-led by AMD Ventures and Airbus Ventures, bringing total funding to about $25M.
FriendliAI
FriendliAI is a San Francisco-based AI inference cloud built by the researchers who invented continuous batching - the technique now standard across the industry. Its platform serves open-weight and custom generative AI models in production with high throughput, lower GPU costs, and 99.99% reliability, used by customers including LG and Twelve Labs.