// The engine-of-engines builder

Turn Data Workflows into Reusable, Evolving Engines

Audit datasets, generate custom Python-powered data tools, and run them seamlessly across new schema updates.

01. Chat/02. Engine workspaceEngine · v4 · audited

— You

Clean the vendor export. Dates are mixed, prices carry currency symbols.

— Engine

Audited 4,812 rows · 3 delimiter faults repaired · 2 date formats detected. Engine generated with 7 rules.

— You

Run it on this month’s file.

— Before → After

Safety audit · pass · 0 erased · 0 invented

// How it works

Not a one-time cleaner. A factory for data tools.

01.

Upload a dataset

Drop a CSV or Excel workbook. Delimiters, ragged rows and hidden sheets are repaired before anything else runs.

02.

Audit and generate

A forensic report profiles every column. The engine builder writes a runnable Python data application from it.

03.

Run and adapt

Execute the engine on new files in your browser. When a schema shifts, the engine extends its rules instead of starting over.

Upload CSV→Audit→Generate engine→Run · adapt · reuse

// Why engines

— Persistent: Every engine is versioned, saved and re-runnable. Not a one-time cleanup.
— Audited: Row-ID tracking and an empty-vs-filled safety audit prove nothing was erased or invented.
— Adaptive: A rulebook memory lets engines absorb new edge cases without breaking old ones.
— Shareable: Publish engines to Discover with a sample file. Others run or fork them in one step.

// Pricing

FreeAd-supported

$0/mo

Standard Data Processing Engine

Premium ProMost chosen

$9.99/mo

Enterprise Reasoning Engine

Token PackAdd to any plan

$4.99one-time

500k AI tokens

Engines execute in your browser · files are never stored beyond your plan’s retention