Predictable medicine for complex disorders
Because patients can’t wait
OUR MISSION
Transform the paradigm of drug development by clinically derisking new targets using existing drugs.
OUR VISION
All patients have access to safe and effective treatments, no matter how complex or unique their needs.
OUR VALUES
Deep science and urgency drive an ethical and transparent therapeutics revolution.
Disrupting Drug Discovery
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Real Biology from Real Data
Our discovery starts with patient data powered by AI. Using the unique RNA signature of each patient, we build Living Molecular Twins, digital twins of patients’ biological networks using systems biology and our proprietary foundation model of human health. No data? We developed a home collection kit for RNAseq, which we have deployed globally to patients across >100 disorders using our rareSHIFT discovery program.
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Effective Treatments & Targets
We rapidly identify new therapeutic mechanisms regardless of root cause of the disease and use our proprietary database to specify molecules to restore health without needing to know a drug target first. If needed, we build animal models in a matter of weeks to ask clinically relevant questions about efficacy and safety. Patients can’t wait for decades of basic research.
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Rapid Clinical Impact
We clinically derisk discovered therapeutic mechanisms in real patients using the off-target effects of existing drugs, letting us clinically validate the therapeutic impact of new biology incredibly quickly and efficiently. By prototyping in partnership with patients before committing to new molecule development, we can more quickly and inexpensively discover what truly works: in patients, not models. This helps patients today, while derisking new therapeutics we develop in parallel. We have enabled clinicians to achieve clinical efficacy in 100% of the patients we analyzed.
OUR IMPACT
4
Clinical trials resulting from Unravel’s platform
1
New molecule for Rett syndrome and other disorders
1
FDA Orphan Drug Designation (for Rett syndrome)
4
New therapeutic mechanisms and targets for rare and non-rare complex disorders
3,500
Primary patient and healthy control RNA samples generated
200x
Higher hit rate of in silico predictions compared to phenotypic screening
20%
Improved patient stratification by drug response over leading AI platforms, validated across 7+ clinical trials