In pharmaceutical boardrooms and biotech basements alike, decisions worth millions are often made on incomplete data. For Samy Danesh, this was a lived issue. At Flatiron Health, where he led the cancer data startup’s first analytics services pilot, he watched biopharma teams grind through mountains of clinical literature and internal spreadsheets just to answer basic strategic questions. The work was manual and timelines were tightening.
That observation led to Argon AI, a New York-based startup that’s building what Danesh calls an “AI-native workspace” for life sciences. The compa
