Browse 4 startups in San Francisco working in Machine Learning. Every listing below is matched on location and skill set so you can discover the right company faster. Compare profiles and reach out directly.
Lilac, a Y Combinator Summer 2025 company, is on a mission to turn idle GPU capacity into a market — automatically. The same data centers that everyone is racing to fill with new GPUs are sitting on a quieter problem: a meaningful share of the silicon they already have is idle at any given moment. […]
Cumulus Labs, a Y Combinator Winter 2026 startup, is betting that the next competitive axis in AI is not model quality but inference economics. The company is building an AI inference optimization platform – what it calls the fastest multimodal inference operating system – aimed squarely at AI teams who want dramatically lower costs and […]
Human Archive, a Winter 2026 Y Combinator company, is pursuing one of the least glamorous and most consequential bottlenecks in modern robotics: data. The startup, founded in 2026 by Raj Patel, Rushil Agarwal, Samay Maini, and Shloke Patel, specializes in AI robotics training data – positioning itself as the multimodal data provider for frontier labs […]
Training data has quietly become one of the most contested assets in artificial intelligence. Frontier labs need staggering volumes of high-quality, diverse, and – increasingly – legally defensible data to push their models forward, yet the supply side of that equation is a mess of scraped corpora, unclear licensing, and reactive lawsuits. Luel, a Y […]
