BenchSci

What is BenchSci?

BenchSci offers EMET, an agentic research environment for R&D that connects data, models, software, workflows and scientific reasoning for preclinical drug discovery. Plain-language research questions are broken down and routed across scientific databases and 38 million or more publications. The vendor says this includes 16 million closed-access papers reached through licenses and partnerships.

Key capabilities of BenchSci

• Question routing: Breaks research questions down and queries multiple sources.
• Knowledge graph: Curated data on antibodies, RNAi, CRISPR, cell lines and animal models.
• Scientific skills: 100+ skills with an evaluation loop the vendor says reaches 95%+ accuracy.
• Model orchestration: Frontier models alongside ESM-2, AbLang2 and RDKit.
• Custom workflows: Agentic workflows and connections to self-driving labs.

How BenchSci works

A scientist asks a question in plain language, EMET splits it into steps, and it runs those across databases, the publication corpus and the knowledge graph. A neuro-symbolic evaluation loop checks results, and the system orchestrates several models without locking into one. A dedicated scientific team builds custom connectors for proprietary data.

Who uses BenchSci?

Biopharma R&D teams across discovery, preclinical, translational, clinical, business development, medical affairs and regulatory affairs, with academic sign-up available. Customer logos include Merck, Sanofi, Thermo Fisher, Pfizer and Google.

BenchSci pricing

BenchSci does not state prices on its main page. It offers a free trial and links to a pricing page.

BenchSci alternatives

Unlearn applies AI digital twins to clinical trial design, which comes later in development. Deep 6 AI matches patients to trials from clinical records. Saama provides clinical data and analytics software for trial operations.