The science stack is fragmenting faster than any scientist can manage — thousands of data sources, 700+ models, endless software, agents, omics, lab automation — and it only gets worse. But the value was never in the pieces. It's in bringing them together. The breakthrough isn't in any single model or dataset — it's in fusing them so they produce what none can alone. EMET by BenchSci is a domain-specific AI for drug discovery — a biology-grounded agentic research environment that fuses the fragmented scientific stack into a single system that thinks like a scientist. Grounded in a deep, validated understanding of disease and target biology, and spanning 200 R&D workflows, it brings together data, every frontier, and specialized models, software, and labs in the loop. EMET acts as the conductor of your science: It connects to your internal data, models, software licenses, and cloud, and is tuned by our scientists to your therapeutic areas, compliance, and the way your teams actually work.
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The BenchSci annual revenue was $63 million in 2026.
Tom Leung is the Founder and CSO of BenchSci.
160 people are employed at BenchSci.
BenchSci is based in Toronto, Ontario.
The NAICS codes for BenchSci are [511, 51, 5112, 5417, 54, 513, 54171, 541713, 541].
The SIC codes for BenchSci are [73, 737].