Compliance & Validation — Documented
HIPAA, SOC 2 Type II, GDPR
Syntegra
Synthetic patient data platform using generative AI to create privacy-safe clinical datasets for pharma research.
Syntegra's Medical Mind™ model generates synthetic patient data that is statistically indistinguishable from real EHR data, enabling pharma teams to share, analyze, and model clinical data without HIPAA risk. Used for clinical trial design, RWE analysis, and AI model training where real patient data access is restricted.
- Headquarters
- San Francisco, United States
- Founded
- 2019
- Compliance
- HIPAA, SOC 2 Type II, GDPR
- Deployment options
- cloud
- Website
- https://www.syntegra.io
Categories
AI Use Cases
- Clinical Data Management
- Protocol Design Optimization
Vendor Scorecard
93% — Complete coverage. Coverage score — how completely Atlas documents Syntegra across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud
Pricing Transparency — Documented
SaaS subscription / data licensing
Implementation & Onboarding — Documented
1–2 months
Organization & Role Fit — Documented
Mid-Size Biotech, Large Pharma, Top 20 Pharma, CRO / CDMO, Academic / Research, Data Management, Clinical Operations, R&D Leadership, Data Engineer / Architect
Solution Scope — Documented
Biomarker Discovery, Clinical Data Management, Patient Recruitment, Real-World Evidence
Company Viability — Partially documented
Founded 2019
Always ask the vendor
Not captured in Atlas data — confirm directly. Excluded from the score above.
Data Rights & IP
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Model Credibility & Explainability
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?
Evidence & Outcomes
Datavant partnership to exchange synthetic data across the healthcare system
Syntegra partnered with Datavant to connect its synthetic data engine with Datavant's de-identification and record-linking network, enabling privacy-preserving exchange of synthetic versions of linked real-world health datasets across the healthcare ecosystem.
press release (Syntegra (GlobeNewswire)) · 2022-12-15 — Partner: Datavant
Questions to Ask This Vendor
- How is synthetic data quality validated against the source EHR population?
- What is the re-identification risk methodology used?
- Can synthetic datasets be generated for rare disease populations?