Stealth Startup
AI science startup aiming to gather scientific data to train models and accelerate scientific discovery
The founders
KW
The company
This stealth startup is building an AI science engine — gathering scientific data to train models designed to accelerate the pace of discovery across research and health. The tagline points squarely at the bottleneck: not compute, but the right data.
Foundation models have raced ahead in language and code, but science remains data-starved and hard to automate. Betting that purpose-built scientific data — not more general-purpose scraping — is the missing ingredient is a timely, contrarian call.
Founded in 2026 and headquartered in Portola Valley, the company is led by Kevin Weil. Beyond that the details are still under wraps, and the team has kept its plans in stealth.
With founder Kevin Weil at the helm and a $150M funding base to work from, the company has the runway to pursue the long, capital-intensive work of building scientific datasets from the ground up.
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