Natural Language Database Query — Chat With Your Databases

iDBQuery is, at its core, an AI database query engine. You type a question the way you'd ask a colleague — "which five products had the highest revenue last quarter?" — and iDBQuery translates it into accurate SQL against your schema, runs it, and returns both the result and a chart.

Because it generates real SQL under the hood, you stay in control: you can inspect the query it wrote, refine your question, and trust the answer. It is database querying without the syntax, the schema memorization, or the round-trips to a data team.

iDBQuery reads your data structure for you. On connection it auto-detects and infers the schema — tables, columns, and types — so you don't have to map anything by hand. When a question spans multiple tables, its AI understands foreign keys and resolves the joins automatically.

That join intelligence is what lets non-technical users ask complex, multi-table questions and still get correct answers — the hard relational work happens behind the scenes.

Answers become assets. iDBQuery lets you build dashboards that combine multiple data sources at once — a SQL database next to a spreadsheet next to a document — so a single view can draw on everything you've connected.

Once a dashboard or report is built, schedule its distribution so the right people get the numbers on the right cadence, automatically — no manual exports, no stale screenshots.

iDBQuery connects to far more than one database. Upload files or paste a connection string, and the schema auto-detects on arrival — there is no lengthy setup before your first question.

It spans SQL and NoSQL databases, spreadsheets, documents, and even construction-industry formats — and credentials are encrypted at rest, with a read-only mode so querying never risks your source data.

Because iDBQuery speaks plain English over any connected source, the same platform serves very different teams. Finance and Sales close their books and forecasts faster; HR and Research answer ad-hoc questions without a SQL ticket; Government, Healthcare, and Education self-serve reporting from systems they already run.

For construction and the built environment, iDBQuery's sub-product SiteMind adds site intelligence mapping, clash detection, and BIM cost tracking on top of IFC, BCF, Speckle, and Autodesk APS data — the same natural-language query experience, tuned for the jobsite.