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

So we spent three 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.

Platform Antibody Specs
Platform Publication Figure

Save time by scanning the literature in minutes, not days

See published figures from more than 21 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 16 other options, using machine learning technology endorsed by Google’s Gradient Ventures.

Platform Antibody Filters

The interface

BenchSci Platform Demo

In partnership with the world's leading scientific publishers

Proudly funded by F-Prime and Gradient Ventures, Google’s AI fund


Join researchers at more than 4,300 academic institutions

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

Read More

We don't charge academic and nonprofit researchers to access BenchSci. We do charge industry researchers.

Why must I register?

Read More

What if I don’t have an institutional email?

Read More

What if you don’t recognize my institution?

Read More

Do I have to download anything?

Read More