AI-Designed Proteins & Binders
Validate your model's full output. Rank binders, measure real negatives, and surface cross-reactivity in one interaction matrix.
See solution →Solutions
Public databases are sparse. Most interaction data is binary and off-targets and non-binders are rarely recorded. Generate the dense, quantitative ground truth your next decision or model iteration needs.
Validate your model's full output. Rank binders, measure real negatives, and surface cross-reactivity in one interaction matrix.
See solution →Screen your whole peptide library against a target, not only the handful that fit a one-at-a-time validation budget.
See solution →Generate dense, quantitative interaction data for training and benchmarking in the biological space your model needs.
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