
Series B · US
AI infrastructure · AI-native
Medical data labeling for healthcare AI
Centaur produces labeled data for teams building AI in healthcare. Labels come from a crowd of more than 100,000 qualified annotators working on Centaur's own platforms, which turn annotation into a game to keep contributors engaged and to check the quality of each answer. The work covers medical images, free-text clinical records, reports that combine several formats, and patient data collected over time, and Centaur has a purpose-built tool for imaging annotation. Buyers range widely, from early-stage startups and research labs to large technology companies and multinational drug makers.
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