BenchSci provides an AI-driven platform, EMET, designed to enhance preclinical R&D by unifying data, AI models, workflows, and scientific reasoning. It enables scientists to efficiently conduct research by offering actionable insights across the full preclinical R&D journey.
About BenchSci
BenchSci's platform, EMET, acts as an agentic workbench that assists researchers in preclinical R&D by integrating data from scientific databases and publications. It facilitates hypothesis generation, target identification, experiment design, and lead optimization by providing traceable and explainable insights. The platform is built to prevent the loss of valuable scientific insights due to systemic failures in drug discovery processes.
Scientific Software
Media
No media yet
Screenshots and product tours appear here once the vendor claims this page.
Features
Surface target candidates from genetic evidence and pathway analysis
Identify mechanistic safety signals and off-target risks
Analyze genomic, proteomic, and transcriptomic evidence
Design experiments grounded in validated protocols and reagent data
Map competitive programs and differentiation opportunities
Orchestrate across agents to synthesize evidence
Deliver verified and cited insights and reports
Initiate workflows based on intent recognition