RNA intelligence for precision medicine
Foundation models that combine isoform, mutation, and expression signals from RNA to improve patient stratification and boost diagnostic accuracy
Built on research from
Gene expression only tells part of the story
Most RNA analysis reduces tens of thousands of transcripts down to gene-level counts. That throws away the splice variants, mutations, and expression patterns that collectively shape how patients respond to treatment. It's why biomarkers underperform, trials miss responder subgroups, and diagnostics lack resolution.
Foundation models change this. They can learn across the full complexity of transcript-level biology and surface coordinated, multi-gene patterns that traditional methods can't detect.
From sequence to clinical insight
Patient Stratification
Build multi-gene signatures that define clinically meaningful subgroups for trial enrichment, resistance profiling, and combination strategy planning.
Enhanced Diagnostics
Improve disease classification and subtyping accuracy from routine RNA-seq samples.
Target Discovery
Reveal coordinated transcript-level patterns that point to new therapeutic opportunities.
Therapeutic Design
Optimize and engineer RNA-based therapeutics.
Biosecurity Monitoring
Automated monitoring and characterization of biological threats using RNA foundation models.
Ready to explore what's possible?
Foundation models get us 90% of the way there. Let's work together to fine-tune the last 10% for your specific needs.