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Backed by Google’s AI fund, BenchSci is trusted by over 1,300 academic institutions and 15 of the top 20 pharmaceutical companies

Why Use BenchSci?

Reduce the time, uncertainty, and cost of selecting and purchasing antibodies for your experiments

Leverage machine learning technology to decode antibody usage data in millions of open- and closed-access papers

Search by protein and filter by technique and 15 other options to scan the literature faster

See published figures with no commercial bias to select antibodies with confidence

Leverage machine learning technology to decode antibody usage data in millions of open- and closed-access papers

Search by protein and filter by technique and 15 other options to scan the literature faster

See published figures with no commercial bias to select antibodies with confidence

Learn More

See what customers, partners, and media say about BenchSci's impact

Globe and Mail

Alphabet's AI Venture Capital Firm Makes First Investment in Canada with BenchSci

BenchSci Case Studies

Dr. David Rimm on Antibodies, Reproducibility, and BenchSci

Dr. Rimm

Professor, Yale

BenchSci is the right step towards a better antibody selection process. Whenever we need antibodies, we start with BenchSci.

Tayler F.L. Wishart

@mylifeinthelab

If you use antibodies for your research you need to know about @benchsci !!! 😍

Addictive Brain

@addictivebrain

Best way to search for antibodies is by using @benchsci. If you haven't tried it already, then you should :)

Alice VR Lake

@AliceVRLake

Just discovered @BenchSci. How has this not existed until recently? Fab idea!

Nafisa Jadavji, PhD

@nafisajadavji

Just discovered @BenchSci for antibody searches. 😌😃 I have been waiting for something like this! Woot!

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