In partnership with the world's leading scientific publishers

Springer Nature
Wiley
WK
PNAS-1
FASEB
JAMA-1
Karger
Aspet

Backed by Google's AI fund

Gradient

Don’t Let Antibodies Slow Down Your Drug Discovery Process

Target research and drug development relies on antibodies. Yet the standard process for selecting suitable antibodies is far from efficient.

To address this, we built a machine learning platform to find antibody usages in the literature. Filter published figures by experimental contexts, and find the best antibodies with no commercial bias.

Scientists

Save time by reviewing only the most relevant data from the literature

Literature Review Image-min

Save Time by Reviewing Only the Most Relevant Data from the Literature

Search by protein target and filter by technique and 15 other options, using machine learning technology endorsed by Google’s AI fund, Gradient Ventures.

Reduce uncertainty with antibody comparisons across the literature

Product Results Image-min (1)

Reduce Uncertainty with Antibody Comparisons Across the Literature

Compare antibody usage across more than 9 million open- and closed-access papers, including journals from Springer Nature and Wiley.

Find and purchase antibodies from the world’s largest antibody database

Antibody Product Image-min-1

Find and Purchase Antibodies from the World’s Largest Antibody Database

Purchase antibodies with just one click when integrated with your organization’s procurement system.

Join Scientists at 15 of the Top 20 Global Pharmaceutical Companies for Fast, Comprehensive, Secure Antibody Research

Get Started