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Syntegra generates privacy-preserving synthetic healthcare datasets that match the statistical properties of original patient data while containing no actual patient records. It uses deep learning…

Syntegra generates privacy-preserving synthetic healthcare datasets that match the statistical properties of original patient data while containing no actual patient records. It uses deep learning…
What they do: Generate validated, privacy-preserving synthetic healthcare datasets for analytics and modeling
Product model: API-driven B2B SaaS platform for health systems, life sciences, payers, and clinical research
Founded / HQ: Founded 2019; San Francisco, United States
Stage / funding: Seed-stage with recorded funding rounds; total funding listed as $5,625,000 (USD)
Founders / leadership: Founders include Michael Lesh and Ofer Mendelevitch
Privacy-preserving access to healthcare data for analytics, ML development, and clinical research
2019
Health
Public records list seed-stage funding and investor names; some funding details are obfuscated in profiles
“Berkeley Catalyst Fund (BCF); First Spark Ventures; GRID Ventures; GRIDS Capital; Hike Ventures; Impact Venture Capital; Innovation Global Capital; Launchpad Capital; Sweat Equity Ventures; Vastly Valuable Ventures; Village Global; WVV Capital”
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