01Curated Datasets at Population Scale
Access pre-analyzed genome data spanning approximately 500,000 samples, organized for rapid cohort identification and downstream research.
Drug discovery programs stall when critical genomic datasets are difficult to source. Population health studies struggle when cohort diversity doesn’t match the research question. Diagnostic innovators lose valuable time navigating fragmented data pipelines before they can even begin model development.
We bring together ~500,000 population-scale genomic samples in a centralized, pre-analyzed data environment. This enables us to empower pharma, biotech, CROs, diagnostics companies, and academic research teams with a faster path from data discovery to scientific insight.
Discover. Validate. Procure. Accelerate.


01Access pre-analyzed genome data spanning approximately 500,000 samples, organized for rapid cohort identification and downstream research.
Browse, filter, and evaluate datasets by disease area, demographic profile, sample type, and genomic markers. No intermediaries.
Every dataset ships with the documentation, quality annotations, and metadata that your research teams need to begin analysis immediately.
Accelerate target discovery and drug candidature validation with population-scale genomic evidence. Source cohorts by disease, demographics, and molecular markers from one platform.
Reduce study startup timelines by sourcing protocol-matched genomic data at scale, without directly managing biobank relationships.
Run population genetic studies, epidemiological analyses, and translational research on ready-to-use genomic datasets. No infrastructure investment is required.
Train AI models, benchmark assays, and build regulatory evidence packages using diverse, well-annotated genomic data at population scale.
Apply genomic outcomes data to patient stratification and coverage decisions — linking population-scale evidence directly to health economics.

Approximately, 500,000 population-level samples – sufficient for oncology & rare-variant discovery, stratified subgroup analyses, and cross-population comparisons.
No months long procurement cycles. Explore our catalog, identify relevant datasets, and complete the acquisition through a single, streamlined digital workflow.
Decades of combined experience across clinical genomics, data engineering, and life sciences AI, built into every platform decision.
Beyond data commerce, self-service analytics and real-world clinical data integration are already on our product roadmap.