BenchSci helps scientists discover articles they might not find with traditional search tools.
Using machine learning models built for biology, BenchSci can infer these articles’ relevance for a query even if the query text isn’t present in the articles.
For closed-access articles, BenchSci then links scientists to the respective publisher partner’s website, increasing discoverability, traffic, and audience growth opportunities.
BenchSci uses AI to augment vendor catalogs. We decode product data form >10 million scientific papers, make it searchable by experimental context, and show published figures of product usage. This helps researchers find and order products faster, with more confidence.
Our vendor partners work with us to keep their catalogs up-to-date on our platform. Our partners leverage BenchSci to glean market insights and competitive intelligence on >10 million reagent products.