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Syntegra
Syntegra applies state-of-the-art machine learning models to create validated, synthetic data derivatives of health care data that match all of the statistical properties of the underlying data, but…
Syntegra
Syntegra applies state-of-the-art machine learning models to create validated, synthetic data derivatives of health care data that match all of the statistical properties of the underlying data, but…
TL;DR
Product: Machine-learning generated, validated synthetic healthcare data
Use cases: Analytics, predictive modeling, synthetic control groups for clinical research
HQ: San Francisco, California
Founders: Michael D. Lesh; Ofer Mendelvitch
Funding: Seed-stage rounds, latest Aug 20, 2021; total reported funding $5,630,000 (USD)
Company Overview
Problem Domain
Health data privacy and access barriers for analytics and clinical research.
Founded
2019
Industry
Healthcare AI / Synthetic Data
Funding Track Record
Reported seed-stage round in Aug 2020
Reported seed-stage round in Aug 2021