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Trillions of dollars flow into global R&D every year, and a massive share of it goes to researchers manually reading papers, writing literature reviews, and assembling evidence packages. This is the work that decides whether a new drug or medical device reaches patients, and almost all of it is still done by hand. AnswerThis is building the operating system for scientific knowledge inside enterprises. Our agents search, synthesize, and draft evidence-based research autonomously. We have 200K+ researchers on the platform across universities and Fortune 500 companies, and we're going deep into life sciences, where the workflows are most manual and the stakes are highest. We're YC-backed, growing fast, and small on purpose. Existing research is still hard to search. Semantic search has improved things, but finding the right evidence across fragmented sources remains a massive unsolved problem. Research can't update itself. A literature review is a snapshot. But the underlying data, internal trial results, competitive intelligence, new publications, all of it changes constantly. Nobody has a good answer for keeping research current. Drafting research is painful. Scientists spend months