For
who turn data into cures.
Biomedical data has never been more abundant — omics, trials, literature, all growing by the day. But data isn’t knowledge. It arrives fragmented across silos, in incompatible formats, disconnected from the biology it describes — so what your teams can actually reason over falls far behind what they collect.
Data4Cure’s Biomedical Intelligence® Cloud closes that gap. We integrate and harmonize diverse data into the CURIE Knowledge Graph™, then layer AI on top — turning scattered datasets into connected, traceable knowledge your teams can act on, from hypothesis generation to clinical trial insights. And every analysis your team runs adds to your own growing knowledge — so each study starts with more context than the last.
Used by global R&D teams for target discovery, biomarker validation, patient stratification, and translational research.
Continuously updated from public and proprietary datasets, clinical trial results and the latest biomedical literature.
Insights generated in one study compound across all your projects, so each one starts with more context than the last — an advantage that grows instead of commoditizing.
Harmonize public & private data across modalities
Analyze with 12 bioinformatics & ML apps
Contextualize against 4B+ provenance-tracked relations
Discover targets & biomarkers, grounded in evidence
Every new dataset compounds across all four layers — every answer traceable to source.
In drug discovery, an answer is only as good as the evidence behind it. We built the entire platform around that principle.
Every relationship in the CURIE Knowledge Graph carries its origin — the dataset, study, or publication it came from.
When AI surfaces a target, biomarker, or mechanism, you can trace it back to the underlying evidence and weigh it yourself.
Every analysis run in the App Engine records the exact data and parameters behind it — so any result can be reproduced step for step, not just taken on faith.
A short film tour of the Biomedical Intelligence Cloud — from harmonized data, into the CURIE Knowledge Graph, to CURIE AI Reports, Target Intelligence, and the RNA1 foundation models, and the translational layer that connects pre-clinical to clinical.
Each one maps to the parts of the platform that answer it.
Billions of provenance-tracked biological relationships, linked across thousands of studies, indications, and biological entities.
You can take an insight and then very quickly ask if there are other data that support or refute this finding. That kind of ability is very enabling.
What’s great about this knowledge graph is that all of the information is already there. It is at your fingertips.
The Biomedical Intelligence Cloud significantly shortens the time to analyze new data and share results with our colleagues.
The CURIE Knowledge Graph shows all of the evidence together. It’s all integrated.
Supercharge your discovery. Give your teams a connected, compounding substrate of biomedical evidence to reason over — one that grows richer with every new dataset.