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Saving lives with data by providing regulatory-grade safety and effectiveness data.

The world's first community-owned data platform for medical research and genomic discovery.

Luna DNA, operated by LunaPBC, represents a paradigm shift in the management of health and genomic data. By 2026, the platform has matured into a sophisticated Real-World Evidence (RWE) engine that bridges the gap between individual health data contributors and life science researchers. Unlike traditional data brokers, Luna DNA utilizes a unique ownership model where participants receive shares in the company in exchange for contributing de-identified genomic, clinical, and lifestyle data. The technical architecture is built on a privacy-preserving 'sandbox' environment that allows researchers to query large-scale multi-omic datasets without ever moving raw data out of secured cloud storage. This federated-style approach ensures HIPAA, GDPR, and CCPA compliance while facilitating high-fidelity longitudinal studies. For 2026 market positioning, Luna DNA serves as a critical infrastructure layer for decentralized clinical trials (DCTs) and precision medicine, offering researchers deep phenotype-to-genotype correlations through its proprietary discovery portal. The platform's ability to integrate diverse data streams—including EHR via FHIR standards, wearable telemetry, and whole-genome sequencing—makes it a primary tool for pharmaceutical companies focused on rare disease research and drug discovery.
Luna DNA, operated by LunaPBC, represents a paradigm shift in the management of health and genomic data.
Explore all tools that specialize in generate real-world evidence. This domain focus ensures Luna DNA delivers optimized results for this specific requirement.
Explore all tools that specialize in patient cohort identification. This domain focus ensures Luna DNA delivers optimized results for this specific requirement.
Normalizes and harmonizes data from disparate sources including DNA, RNA, EHR, and wearable devices into a single longitudinal record.
A granular consent management system allowing participants to opt-in or out of specific research categories in real-time.
Computing environment where researchers can run algorithms on sensitive data without extracting individual-level information.
An SEC-qualified model where data contribution is rewarded with equity in the parent company.
Uses the Fast Healthcare Interoperability Resources (FHIR) standard to pull real-time clinical data from major EHR providers.
A complex Boolean-based interface for filtering participants by specific symptoms, medications, and genetic variants.
AI-driven pipelines that flag inconsistent health data and genomic sequencing errors before analysis.
Create a secure user account via encrypted portal.
Authenticate identity through multi-factor authentication (MFA).
Connect Electronic Health Records (EHR) via FHIR-based patient portals.
Upload raw genomic files (23andMe, AncestryDNA, or WGS data).
Complete health-specific phenotypes and lifestyle surveys.
Consent to specific research studies or the general discovery pool.
Researchers (Enterprise) set up a project workspace in the Luna Portal.
Define cohort criteria using the platform’s SQL-based query builder.
Execute analysis within the secure Luna analytical sandbox.
Export de-identified aggregate findings and statistical summaries.
All Set
Ready to go
Verified feedback from other users.
"Users highly value the data ownership and privacy model; researchers praise the depth of multi-omic data integration but note the learning curve for the query builder."
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