TriNetX

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TriNetX delivers trusted, real-world health data from 11,000+ clinical sites across 20+ countries, powering clinical research, trial design, and regulatory-grade evidence generation with AI-driven analytics.

Data & Analytics

AI Models & Infrastructure

Research & Education

About

TriNetX is the world's most-cited real-world data (RWD) source in peer-reviewed journals, providing a trusted, comprehensive platform for healthcare research and evidence generation. The platform aggregates directly sourced, high-fidelity clinical data from 11,000+ clinical sites across 20+ countries, keeping identifiable data securely within each institution while enabling federated, real-time querying at scale. Designed for pharmaceutical companies, healthcare providers, and academic research institutions, TriNetX offers a powerful fusion of AI, machine learning, and world-renowned scientific expertise. Its flagship products — TriNetX LIVE™ and EVIDEX® — support use cases including clinical trial design, patient cohort identification, drug safety monitoring, oncology real-world evidence (RWE) generation, and healthcare network optimization. Rather than relying on simulations or synthetic data, TriNetX delivers insights grounded in real patient populations, helping researchers and life sciences organizations frame smarter questions, interpret results rigorously, and generate evidence that withstands regulatory scrutiny. Healthcare providers leverage the platform to benchmark their data against global standards, identify high-value service lines, and reduce the total cost of care. Academic institutions use TriNetX to power grant-winning, publishable research with transparent, defensible methodologies. With high-touch partnership support and a commitment to scientific integrity, TriNetX is purpose-built for organizations that demand trustworthy answers to their toughest medical, scientific, and business questions.

Key Features

Federated Real-World Data Network: Access de-identified patient data from 11,000+ clinical sites in 20+ countries while keeping identifiable data securely within each institution.
AI-Powered Analytics & Machine Learning: Combines AI, ML, and human scientific expertise to surface patterns, accelerate research, and generate real-world evidence in near-real-time.
Clinical Trial Design & Cohort Identification: Helps life sciences teams design better protocols, identify eligible patient cohorts faster, and generate RWE that meets regulatory standards.
Drug Safety & Oncology RWE Generation: Dedicated solutions for pharmacovigilance, drug safety monitoring, and oncology-specific real-world evidence studies.
Global Scientific & Customer Support: High-touch partnerships with world-renowned scientific experts who help customers frame smarter questions and interpret results with confidence.

Use Cases

Pharmaceutical companies designing clinical trials by identifying eligible patient cohorts and benchmarking protocol feasibility against real-world population data.
Life sciences organizations generating regulatory-grade real-world evidence for drug safety monitoring, post-market surveillance, and FDA/EMA submissions.
Academic research institutions conducting peer-reviewed studies using globally sourced, transparent, and methodologically defensible patient data.
Healthcare providers benchmarking their performance and patient outcomes against global standards to optimize service lines and reduce total cost of care.
Oncology researchers studying treatment patterns, outcomes, and drug efficacy across diverse real-world cancer patient populations across multiple geographies.

Pros

World's Most-Cited RWD Source: TriNetX is the most-referenced real-world data platform in peer-reviewed journals, lending significant scientific credibility to research outputs.
Truly Global, Directly Sourced Data: Data comes directly from leading health systems worldwide, ensuring high fidelity, accuracy, and real-time queryability — not aggregated or synthetic datasets.
Expert Scientific Collaboration: Customers benefit from hands-on support from renowned scientific teams who help design studies, interpret findings, and ensure defensible methodologies.
Regulatory-Grade Evidence: Evidence generated on the platform is designed to withstand regulatory scrutiny, making it suitable for submissions to bodies like the FDA and EMA.

Cons

Enterprise Pricing Only: TriNetX is tailored for large pharma, healthcare systems, and academic institutions with no self-serve or free-tier access, making it inaccessible to smaller teams or independent researchers.
Requires Onboarding & Scoping: Engagements typically involve RFI/RFP processes and significant onboarding, which may slow time-to-insights for organizations new to real-world data platforms.
Not Suitable for All Research Questions: TriNetX is transparent that it may not be the right fit for every question, which, while honest, means some use cases may require alternative data sources.

Frequently Asked Questions

TriNetX is a global real-world health data platform designed for pharmaceutical companies, life sciences organizations, healthcare providers, and academic research institutions who need trusted, high-fidelity patient data to conduct research, design clinical trials, and generate regulatory-grade evidence.

TriNetX uses a federated data model, keeping identifiable patient data securely within each clinical site. Researchers query de-identified, harmonized data without the raw records ever leaving the source institution, preserving security, data provenance, and patient privacy.

TriNetX LIVE™ is the platform's real-time analytics and cohort exploration tool, while EVIDEX® is focused on generating rigorous real-world evidence for regulatory submissions, publications, and clinical decision-making. Both products leverage the same globally sourced data network.

TriNetX's network includes over 11,000 clinical sites across more than 20 countries, making it one of the largest and most geographically diverse real-world health data networks available for research.

Access is obtained by contacting TriNetX directly to request a demo or submit an RFI/RFP. Engagements are customized based on the organization's research goals, data needs, and geographic scope.