Compliance & Validation — Documented
HIPAA, SOC 2 Type II, GDPR
TriNetX
Global health research network connecting biopharma with real-world patient data for trial feasibility.
TriNetX operates a global federated network of healthcare organizations providing access to real-world clinical data for clinical trial feasibility, patient recruitment optimization, and real-world evidence generation. Their platform spans over 120 healthcare organizations with data on hundreds of millions of patients globally.
- Headquarters
- Cambridge, United States
- Founded
- 2015
- Compliance
- HIPAA, SOC 2 Type II, GDPR
- Deployment options
- cloud
- Website
- https://www.trinetx.com
- https://www.linkedin.com/company/trinetx
Categories
AI Use Cases
- Patient Recruitment & Enrollment
- Site Selection & Performance
Vendor Scorecard
100% — Complete coverage. Coverage score — how completely Atlas documents TriNetX across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud
Pricing Transparency — Documented
Annual subscription by network access
Implementation & Onboarding — Documented
1–3 months
Organization & Role Fit — Documented
Biotech Startup, Mid-Size Biotech, Large Pharma, Top 20 Pharma, CRO / CDMO, Academic / Research, Clinical Operations, R&D Leadership, Data Management
Solution Scope — Documented
Patient Recruitment, Real-World Evidence
Company Viability — Documented
Series C, $45.0M raised, 200+ employees, Founded 2015
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?
Questions to Ask This Vendor
- Which health systems in our target geography are in the network?
- How current is the patient data — what is the typical lag?
- Can we see site-level data or only aggregate?
- How do you handle patient consent for federated queries?