Measure, predict, engineer. One closed loop.
Capybara™ measures where cells are. CellOracle™ predicts the next move. The wet lab tests it, and each round gets closer to the target.
InputSingle-cell RNA-seq data· available as add-on
Measure
01
Capybara
Score each engineered cell against primary human references.
Predict
02
CellOracle
Rank TF perturbations likely to move cells toward target fate.
Engineer
03
Wet lab
Apply predictions, then feed refined cells back into Capybara.
Each cycle tightens the path: measure the cells, predict the next move, test it in the lab, and repeat toward the target state.
Learn more about our technology →Peer-reviewed research behind the platform.
CapyBio’s platform is grounded in peer-reviewed methods for measuring cell identity and predicting cell fate.
Nature · 2023PubMed →
Dissecting cell identity via network inference and in silico gene perturbation
Kamimoto et al.
(opens in new tab)Cell Stem Cell · 2022PubMed →
Capybara: A computational tool to measure cell identity and fate transitions
Kong et al.
(opens in new tab)Cell Stem Cell · 2025PubMed →
Comparative single-cell lineage tracing identifies distinct adipocyte precursor dynamics in skin and inguinal fat
Rivera-Gonzalez and Butka et al.
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