What Diafunc does for you

Automated Analysis.

The whole data-science workflow, automated.

Diafunc automates the work a data scientist would do — ingestion, profiling, modeling, validation, diagnostics, interpretation, deployment, monitoring. End to end, in one step.

You bring a dataset. Diafunc reads it, discovers a readable model, runs the full battery of diagnostics, writes a plain-English narrative, and ships the model ready to deploy. As your data grows, the workflow re-runs and you get notified when anything changes.

What you get

· The discovered formula, as code you can read
· A plain-English narrative of what the model says about your data
· Quality on held-out rows — the evidence it generalizes
· Sensitivity, residuals, prediction intervals, partial dependence — the full evidence
· Causal hints + extrapolation flags — what to trust, where to stop
· Regression or classification, single- or multi-target
· A deployable model, available via API, MCP, or CLI
· Refreshes as data grows — with a notification when it does

No data-science team required.

A glowing model dossier floating in the universe — the readable model, quality score, formula, and narrative Diafunc produces automatically from a dataset.

Bring a dataset. Diafunc does the rest.

Start analyzing