BenchSci is the world leader in AI-Assisted Experiment Design

16Top20
16 top 20 pharma companies trust BenchSci, along with over 50,000 scientists working at more than 4,500 institutions worldwide
Companies using BenchSci save up to $6 million per year in hard costs alone**
** Based on proprietary customer spend analysis. Depends on a number of factors, including a company’s total annual reagent spend and its waste ratio.
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Scientists using BenchSci move faster, with less time searching for and validating reagents and model systems
Over 80% of scientists say that BenchSci accelerates their work^
^ On average from surveys conducted on hundreds of industry scientists across various therapeutic areas and geographies.
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Enterprise Customers

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Sanofi
Novo Nordisk
Janssen
Novartis
AbbVie
AstraZeneca
GSK
Eli Lilly
Bristol Myers Squibb
Amgen
Takeda
Gilead
Moderna
BioMarin
Voyager
Daiichi-Sankyo
BeiGene
Sanofi
Novo Nordisk
Janssen
Novartis
AbbVie
AstraZeneca
GSK
Eli Lilly
Bristol Myers Squibb
Amgen
Takeda
Gilead
Moderna
BioMarin
Voyager
Daiichi-Sankyo
BeiGene

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Academic Customers

BenchSci AI-Assisted Antibody Selection is free for students and researchers at academic, government, and nonprofit institutions, including:

University of Cambridge
The University of Chicago
ETH Zurich
Harvard University
Karolinska Institutet
Massachusetts Institute of Technology
University of Oxford
Stanford University
The University of Tokyo
University College London
UC San Francisco
University of Toronto
University of Cambridge
The University of Chicago
ETH Zurich
Harvard University
Karolinska Institutet
Massachusetts Institute of Technology
University of Oxford
Stanford University
The University of Tokyo
University College London
UC San Francisco
University of Toronto

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