BenchSci
Free tierThe agentic AI workbench that gives every scientist a team of expert PhD scientists for preclinical R&D
Key strengths
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Recent changes
- Pricing model: enterprise → freemium
- Plans updated: Free tier for academic, nonprofit, and government organizations (limited access, 24/7 self-serve support). Custom Enterprise pricing for pharma and biotech companies, starting with a free pilot.
- Models updated: Multiple frontier models (model-agnostic), plus ESM-2, AbLang2, and RDKit
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BenchSci — Technical Overview
BenchSci is a model-agnostic agentic research environment built for pharmaceutical and biotech R&D workflows. Its orchestration layer routes tasks across multiple frontier LLMs alongside domain-specific models — including ESM-2 (protein language model), AbLang2 (antibody language model), and RDKit (cheminformatics toolkit) — selecting the best model per task without locking into a single provider.
At its core sits a proprietary knowledge graph comprising 858 million nodes and 2.2 billion relationship edges, populated from curated biological data spanning antibodies, RNAi, CRISPR reagents, cell lines, and animal models. BenchSci also surfaces content from 16 million closed-access papers via publisher partnerships — data that standard web-crawling pipelines cannot reach.
Accuracy is enforced through a neuro-symbolic evaluation loop that achieves 95%+ accuracy, combining neural model outputs with symbolic reasoning constraints. The platform exposes 100+ proprietary scientific skills purpose-built for drug discovery workflows, and integrates with Patsnap for patent intelligence. Each enterprise deployment is supported by a dedicated PhD scientist team to configure and validate the environment.