Validated execution, not another notebook.
50+ validated pipeline steps, multi-tenant isolation, and a decision record for every run — built for teams who can't send data to a third party.
Someone has an idea. Nobody knows how it got there. Later, you're trying to reconstruct where it went wrong. Workbench is the antithesis of that.
Every run, accounted for.
Our one proprietary model: GraphMiner.
Most pipeline steps wrap established tools. GraphMiner is ours — it trains a model on your data, then mines the model itself for rules a scientist can read, argue with, and test.
AND Escherichia > 0.45
THEN IBD
Owned by Graphomics — it composes established interpretable-ML methods with our own rule-mining layer. The output is a statement you can test, not a score you have to trust.
A second family of nodes fits community-dynamics models to microbiome data and predicts how a community responds to perturbation. And when a stock node isn't enough, you can publish your own Python as a chainable step — verified end-to-end on real clinical data.
A live view of what's running, queued, and stored.
Runs where your data already lives.
Ready to run validated pipelines?