Accelerate projects by selecting reagents and model systems in 30 seconds vs. 12 weeks
Reduce hard cost of consumables and save millions per year
Empower organizational purpose by restoring research time to scientists
See real business impact from AI with a proven, turnkey application
Backed by Google’s AI fund, Gradient Ventures, BenchSci is the industry standard for antibody selection.
Over 48,700 scientists in 15 of the top 20 pharmaceutical companies and more than 4,450 academic institutions use BenchSci’s AI-Assisted Antibody Selection to plan more successful experiments, with proven savings of millions per year in hard costs alone. But antibodies constitute just 40-50% of reagent failures.
What began with antibody selection now encompasses additional reagents as well as model systems, including:
Representing about 40-50% of reagent waste, with millions of products and hundreds of vendors
Often the second highest source of waste after antibodies, with a similar number of products and vendors
Challenging to search for, with many not cited by SKU, and a need to find through other means such as sequence
Critical tools whose common misidentification and misuse can have a devastating impact on research projects
One of the most important new gene-editing technologies, with the need to select vectors, nuclease, guide RNA, screening libraries, and trans-activating RNA
Time-consuming to find—scientists often consult many papers to identify a model that has been successfully utilized in experiments similar to their own
A crucial advancement in molecular biology that enables scientists to better understand a specific gene function