It’s hard to find the right antibody. We know. We’ve been there.

So we spent five years building a machine learning platform to decode comprehensive open- and closed-access datasets, display published figures with no commercial bias, and let you search by experimental variables.

Academic Landing Page - Slide 3
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Save time by scanning the literature in minutes, not days

See published figures from more than 14 million open- and closed-access papers, including journals from Springer Nature and Wiley.

Reduce uncertainty with unbiased data for your specific experiments

Search by protein target and filter by application and 19 other options, using machine learning technology endorsed by Google’s Gradient Ventures.

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The interface

BenchSci Platform Demo

In partnership with the world's leading scientific publishers

Proudly funded by F-Prime, Gradient Ventures (Google’s AI fund), Inovia Capital, and TCV

Join scientists at more than 4,500 academic institutions

Why is it free? (How do you make money?)

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