Not a database, a dashboard, or another model — the Biomedical Intelligence® Cloud is an integrated platform where data, workflows, knowledge, and AI combine, so every new dataset compounds into the context layer your teams reason over, with full provenance back to the underlying evidence.
Unify public and private data sources into a centralized, semantically linked repository enriched with deep metadata annotations. Omics, clinical and literature become interoperable and ready for advanced analysis.
Extract insights from complex, heterogeneous datasets with the Biomedical Intelligence App Engine — pathway analysis, disease subtyping and predictive modeling across multi-dimensional data.
A continuously evolving biomedical knowledge graph that synthesizes findings from public and proprietary datasets, clinical trial results and scientific literature — with over 4 billion provenance-tracked relationships.
Foundation models and graph-based models — trained on millions of data points — surface novel drug targets, biomarkers and mechanistic insights, with every claim grounded in the knowledge graph.
Four layers, one substrate — each feeds the next, and every new dataset compounds across them all.
Built from thousands of harmonized datasets, millions of analyses and over a million biomedical entities — with billions of provenance-tracked relations connecting them.
The same compounding knowledge powers every Data4Cure application — so insights generated in one carry across all of them.
GenAI and the CURIE Knowledge Graph generate comprehensive, grounded reports on genes, diseases, drugs and pathways.
Explore CURIE Entity Reports → Target IntelligenceIndication-specific target shortlists, scored across hundreds of evidence types — every call provenance-linked.
Explore Target Intelligence → RNA1 Foundation ModelsModels that align omics across 130K+ samples and thousands of datasets — for forward and reverse translation.
Explore RNA1 →Previously, translational teams had to stitch together separate vendors for data harmonization, analysis, knowledge, and AI — then pay to integrate and maintain them. The Biomedical Intelligence Cloud consolidates all four into a single platform layer for translational biology, so your teams reason over one connected substrate instead of moving data between disconnected tools.
A side-by-side look at how the Biomedical Intelligence Cloud compares to the typical analytics platform on seven dimensions that matter for R&D teams.
The cost of building (and maintaining) an equivalent in-house stack — from semantic ontologies to continuous data updates — is enormous.
The sooner you start, the sooner your team’s own knowledge compounds — each analysis building on the last, on top of everything CURIE already knows. Reach out for a guided tour of the Biomedical Intelligence Cloud, the CURIE Knowledge Graph, and the apps that sit on top of them.