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Trusted by the world's leading biopharma R&D teams.
How it works
Make biological models work on your data.
Target identification and biomarker discovery.
01
Find the models that work on your data.
Evaluate biological foundation models against your scientific questions. Compare results on held-out data before choosing which models to use.
02
Teach them your biology.
Post-train models on your disease data and experiments. Measure what improves against the criteria your team has defined.
03
Run target and biomarker workflows.
Combine your evaluated models with scientific tools to run virtual experiments. Compare predictions and rank target and biomarker candidates for follow-up.
04
Decide which candidates to test.
Assess candidates against orthogonal evidence from genetics, experiments and the literature. Inspect the proposed mechanisms, then use your experimental results to refine the next round.
Benchmark
Measure the gain on target discovery.
Compare the full Helical workflow with biological foundation models alone, generalist AI tools and a differential expression baseline.
Recovery@100 vs. Open Targets top-5% evidence, averaged across 7 indications. Reasoning Models = avg of Codex + Kimi K2.7. Bio Foundation Models = Fine-tuned Geneformer. Higher is better. Retrospective target recovery. Experimental validation is a separate step.
Click here to see the full benchmarkYour biological intelligence
Build biological intelligence you own.
SOC 2 TYPE II (in progress)Your models. Your evaluations.
Adapt models to your biology and encode your scientific expertise in evaluations that define success. The specialised model weights and proprietary evaluations you build remain yours.
Our scientists, working alongside yours.
Our Deployed Scientists help your team define success, identify the data needed and adapt models to your scientific task. Together, assess the results and prioritise what to test next.
Put models where your scientists work.
Run target identification, biomarker discovery and cross-species translation through Helical or your existing AI tools. Bring predictions and supporting evidence directly into your research workflows.
Better target and biomarker decisions.
Build biological intelligence around your data and research programmes.