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 hands you the model as code and as a prediction endpoint. As your data grows, re-run the analysis, by hand or on a schedule.

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
· Re-runs on a schedule as your data grows

No data-science team required.

The Headline chapter of the Yacht Hydrodynamics report: Diafunc modeled residuary_resistance from 6 columns, using 4 of them, and explains 99.4 percent of it; three findings in plain English, and the chart of predicted against actual resistance over the 62 held-out rows. — Real output. The Headline chapter of a report: what the model says, in plain English, and how it did on the rows it never saw.

Bring a dataset. Diafunc does the rest.

50,000 free credits to start: about five full analyses. No credit card.

Start free