Spreadsheets

Inside the grid, AI spreadsheet software does several distinct jobs: writing and explaining formulas from a plain-language description, cleaning inconsistent entries, removing duplicates, categorizing free-text fields, filling a column by example, building pivot summaries and charts, and answering questions about a sheet without anyone writing a query. Some run as an add-in inside an existing spreadsheet; others are standalone grids that expose model calls as a function, so rows can be enriched or classified in bulk. Database connections and CSV import and export are standard.

Analysts, finance and operations staff, recruiters and marketing teams reach for them to reconcile two exports, classify support tickets or enrich a contact list. The meaningful differences are row and file-size ceilings, formula dialect compatibility, whether a sheet stays live-linked to its source, the audit trail of what a model changed, and whether data leaves the machine at all, a hard constraint when the sheet holds payroll records.

Re-run a calculation you already trust before relying on one. Failures here are quiet: a plausible formula pointing at the wrong range, type coercion that turns identifiers into numbers, and performance collapse on large files. Ask for intermediate columns so results can be checked rather than accepted. Pricing blends a free tier limited by rows or runs with per-seat plans and credit metering for bulk model calls.