BenchSci
Free tierThe agentic AI workbench that gives every scientist a team of expert PhD scientists for preclinical R&D
Enterprise·Technical·Powered by Multiple (frontier LLMs + ESM-2, AbLang2, RDKit)·API available
Key strengths
Access to 16M closed-access papers via exclusive publisher partnershipsProprietary knowledge graph with 858M nodes and 2.2B relationship edges95%+ accuracy via neuro-symbolic evaluation — 2–4x better than frontier LLMs100+ domain-specific scientific skills for target ID, omics, and experiment designCurated reagent data: 16M antibodies, 22M RNAi entries, 18M CRISPR records
Enterprise pricing
Toronto, Canada
Founded 2015
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- Target identification & validation: Chain omics analysis skills across proprietary databases and literature to surface and validate novel drug targets with full evidence traceability
- Hypothesis generation: Decompose complex biological questions through EMET's orchestration layer to generate ranked, evidence-backed scientific hypotheses
- Experiment design automation: Leverage 100+ scientific skills to recommend optimal reagents (from 16M antibodies, 18M CRISPR records) and experimental protocols
- Proprietary data integration: Ingest internal dark data, ELN records, and siloed spreadsheets into the EMET knowledge environment for unified querying
- Self-driving lab connectivity: Connect EMET's agentic workflows to automated lab hardware for closed-loop experimental cycles
- Biomarker & lead optimization: Run multi-database, multi-model analyses for biomarker development and small molecule/antibody lead refinement using RDKit and AbLang2
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