BenchSci Description
Reduce costly experiment failures by eliminating inefficiencies and errors throughout the reagent and model selection process. You can speed up projects by selecting reagents or model systems in 30 seconds instead of 12 weeks. Reduce the hard cost of consumables, and you can save millions each year. By restoring research time to scientists, you can empower your organization's purpose. With a proven, turnkey solution, you can see real business benefits from AI. BenchSci's AI Assisted Antibody Selection is used by more than 41,200 scientists at 15 of the top 20 pharmaceutical firms and more than 4,450 academic institutes to plan more successful experiments. This has proven to be a cost-savings of millions of dollars per year. However, antibodies account for only 40-50% of reagent-related failures. You can access comprehensive experimental evidence, model system catalog data, independent validations, and reagent and reagent catalog data within one intuitive interface. Real-world experiment data, including closed-access papers, from over 11.2 million scientific publications.