Built for AI, not API calls.
Most tools hand an AI a live API — paginated, rate-limited, and easy to miscount. Zamino turns your sources into clean, pre-joined, history-aware tables where the hard math is already done right, so every answer comes back fast and grounded.
Built to deliver.
Three things ai-ready tables gets right that everything-else-on-the-market doesn't.
The math is already right
Raw APIs return nested rows an AI has to sum and join on the fly — where it quietly double-counts. Zamino pre-aggregates with tested, deterministic rules, so a total is a total.
History that answers instantly
“Last 18 months by channel” is thousands of paged API calls against a live connector. Against Zamino it’s one query on a stored, indexed warehouse — back before you finish reading the question.
One model across every source
Your POS, accounting, bank and payments share consistent definitions, so the AI joins them in a single answer instead of guessing how they line up.
How it works,
end to end.
Every source is fetched, cleaned, deduplicated and mapped to a consistent schema — customers, products and transactions all speak the same language.
The expensive cross-source math is computed once and stored, not recomputed live on every question. That’s what makes answers both instant and correct.
Instead of hammering a source API, the AI reads clean tables over MCP — grounded, fast, and impossible to miscount.
Things teams actually ask.
Real prompts from real operators. Start with one — or ask your own.
Frequently asked.
How is this different from connecting ChatGPT straight to my tools?
A live connector re-asks one source per question, one tool at a time, and chokes on history. Zamino stitches every source once into a stored warehouse, so answers span all your tools and years of data — instantly.
How do you keep the data fresh?
Scheduled syncs plus webhook change-detection keep your tables current. You can see exactly what flowed in and when in the audit log.
Why do AIs get numbers wrong on raw APIs?
Nested, paginated API responses force the model to sum and join in its head — where it drops pages, double-counts joined rows, or mixes up units. Pre-aggregated tables remove that whole failure mode.
Your data,
finally talking back.
Connect your first source in five minutes and ask your first question today. No card required.
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