Lighting up Antigen Design with AI
We built the first AI platform to move beyond binding affinity and predict true T-cell immunogenicity. De-risk your pipeline, accelerate discovery, and achieve results with 14x greater accuracy.
Our platform was validated across multiple viral and cancer targets, and beat all of the state of the art models & solutions when solving real-world R&D challenges.
Higher Precision-Recall AUC in T-cell response prediction than the golden standard models.
Higher precision demonstrated in a prospective, head to head, in vivo cancer vaccine study.
Confirmed expression rate, as validated by prospective in vitro study on difficult viral target.
Design, iterate, apply custom feedback and receive superior candidate within 24h.
Apply different criteria such as: increase or decrease immunogenicity, increase solubility, preserve or modify different regions.
Seamless Computational Workflow
Deepflare's platform integrates the most powerful tools in computational biology from open source (such as RFdiffusion) together with Deepflare's propietary in-house models, into a single, seamless workflow.
Our Approach
