AI-assisted, human-approved
AI data cleaning you can inspect before it runs
A useful cleaning assistant should reduce manual work without turning your spreadsheet into a black box. This workflow profiles the file with deterministic code, asks AI for suggestions within a fixed rule language, and waits for your approval before execution.
What the AI does—and what it never does
The model proposes a structured plan from the data profile. It can describe why a rule may help, identify the columns it targets, and estimate impact. It does not receive permission to write arbitrary code, directly edit your source file, or silently run a destructive transformation.
Sample sharing is optional and off by default. With samples disabled, the model input contains aggregate profile information but no sample rows and no per-column sample values. If you opt in, the request is limited to at most five already-masked rows.
- Fixed, validated cleaning operations
- Explicit review for every suggested rule
- Separate deterministic execution after confirmation
- A new output file instead of overwriting the original
A practical review-first workflow
Start with a CSV or XLSX file. The profiler reports row and column counts, inferred types, missing values, duplicates, and other quality signals. That profile is useful on its own and gives the plan generator bounded context about the shape of the dataset.
After the plan is generated, choose Review all for a compact pass or Step by step for focused decisions. Both views edit the same plan. You can accept, skip, or adjust supported parameters, and high-risk changes require an additional acknowledgement before confirmation.
Results designed for verification
The execution engine applies the confirmed rules in order and writes a new cleaned file. The report shows actual row and column changes, warnings, rule outcomes, input and output hashes, the frozen rule snapshot hash, and the engine version recorded by the run.
During the public beta, the product is free to use and there is no credit gate or checkout. Versioned recipes, advanced rule creation, persistent data dictionaries, usage ledgers, and paid plans remain clearly marked as coming soon instead of appearing as completed features.