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The 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
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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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EMET is built on a neuro-symbolic orchestration architecture that decomposes complex scientific queries and chains 100+ domain-specific AI skills across 38M+ publications (including 16M closed-access papers) and 1,000+ scientific databases. Its proprietary knowledge graph contains 858M nodes, 2.2B relationship edges, and 100M ontological nodes across 241 edge types. The platform orchestrates frontier LLMs alongside specialized biological models — ESM-2 for protein language, AbLang2 for antibody modeling, and RDKit for cheminformatics — achieving 95%+ accuracy validated across 600+ tests and 8+ benchmarks. It supports integration of proprietary/dark data, customizable agentic workflows, and connectivity to self-driving labs for regulated biopharma environments.