What problem does iDBQuery solve?
iDBQuery solves the gap between having data and getting answers from it. Instead of waiting days for an analyst, exporting to spreadsheets, or stitching together a warehouse, you ask a question in plain language and get a cited answer in seconds — across all your databases and files at once.
Most teams have plenty of data and almost no easy way to question it. The answer to a simple business question usually lives across several systems — a database here, a spreadsheet there, a PDF report, an API — and getting it means a ticket to the data team, a manual export, or a brittle pipeline.
iDBQuery removes that friction:
- No waiting — ask in plain language and get an answer in seconds, not a queue behind the analytics backlog
- No SQL required — iDBQuery writes and runs the query for you
- No data project — it queries your sources as they are, with no warehouse to build or maintain
- No black box — every number is cited back to the exact source row, so you can trust and defend it
It also solves the *trust* problem that general AI chatbots create: instead of plausible-sounding guesses, iDBQuery answers strictly from your real data and shows its work. The result is that anyone — not just engineers — can investigate a number, reconcile two systems, or build a report without help, while analysts get freed from repetitive ad-hoc requests.
Updated 2026-06-22