Comprehensive Signal Analysis
AI technology trained for heterogeneity
Our machine learning engine integrates multifaceted biomolecular signals to model the full complexity of tumor-immune interaction over time, yielding best-in-class predictive accuracy.
Signal Coverage Comparison
Signal InputOthersAreca
MHC Binding Affinity (Conventional Approach)
TCR Cross-Reactivity
HLA Damage / Immune Evasion
Dual CD4+ & CD8+ Prediction
Foreignness / Viral Similarity
Evolutionary Immune Signal
Platform Performance
3× greater accuracy than any competitor
Industry Standard30%
Areca Bio90%
NatureJournal
Peer ReviewedPublished Research
New AI Framework “NeoPrecis” Improves Immunotherapy Predictions
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We partner with biopharma companies and research institutions to integrate our prediction engine into their programs as well as individual patients exploring experimental therapies.