iDBQuery unifies databases, spreadsheets, PDFs and APIs into one live model — and answers in plain language, with the source.
The sequence above, in words — every stage of turning scattered sources into one model you can question.
Your data lives in MySQL, Postgres, spreadsheets, PDFs and REST APIs. iDBQuery unifies it — and answers in plain language.
A dozen places, one question. iDBQuery connects every source into a single live model you can actually query.
MySQL, Postgres and Mongo connect and join into one queryable model. Every table is now askable in plain language.
The semantic layer learns what obscure columns and tables mean, so iDBQuery understands data a human would have to decode first.
Excel and CSV join the model alongside your databases — no copy-paste, no manual reconciliation.
PDFs are indexed page by page. Answers cite the exact file and page — and join with your structured queries.
Every figure traces back to its exact source row — click any number to see precisely where it came from.
Turn an answer into a live dashboard or a scheduled report that builds and sends itself.
Hand it a question and the autonomous Analyst investigates across every source on its own — with the evidence attached.
From scattered sources to one clean surface — every answer source-linked. Now explore the model and ask it anything.
Numbers live in MySQL and Postgres. Records sit in Mongo. The rest is in spreadsheets, PDFs and a handful of REST APIs. Answering one plain question means opening six tools and reconciling them by hand.
Most teams do not have one. The ones that do are buried in backlog. Every new dashboard is three weeks of waiting on a pipeline nobody has time to build.
When a tool finally returns a number, you cannot see where it came from. No source row, no trail, no way to defend it in the room. So you check it by hand anyway.
Databases, spreadsheets, PDFs and APIs — iDBQuery unifies them and answers in plain language. Every number links straight back to the source row it came from.
Databases, spreadsheets, PDFs and APIs on one live model. Connect another source and it joins the same source of truth — no pipelines, no warehouse.
Metrics, trends and risk — every figure live, and every number traceable back to its source.
Each capability solves a specific pain. Together they share one queryable model.
The numbers you need are scattered across databases, spreadsheets, PDFs and APIs with no way to join them.
MySQL, Postgres, Mongo, Excel, CSV, PDFs and REST APIs — iDBQuery connects them and builds a single live model. No warehouse project. No pipelines.
One model from everything you have.
Getting an answer means writing SQL or filing a ticket and waiting days for someone to run it.
Type the question the way you would say it. iDBQuery reads it, pulls from every source at once, and returns text, a chart, a table or a live widget.
No SQL. No tickets. Just the answer.
A tool hands you a number with no idea where it came from, so you cannot trust it or defend it.
Every number traces back to its exact source row. Click any figure to see precisely where it came from — no black box, no guesswork.
A number you can defend.
Standing up a live dashboard means a data project nobody has time for.
Turn any answer into a live dashboard — stat tiles, charts, tables and calendars — that refreshes from source as the data changes.
Build a dashboard from a sentence.
The weekly report is assembled by hand from five sources every single week.
Pin an answer to a report, schedule it, and have the PDF land in inboxes before anyone is awake. Every figure source-linked.
The report builds and sends itself.
Finding what is trending or out of place across all your data takes an analyst days you do not have.
Hand a question to the autonomous Analyst agent and it investigates across every source on its own — surfacing trends, outliers and risks with the evidence attached.
An analyst that does the legwork.
Half your tables have cryptic names and undocumented columns nobody alive remembers.
A semantic layer teaches iDBQuery what cryptic columns and obscure tables actually mean, so it understands schemas a human would have to decode first.
It understands your worst database.
Every chart for the deck is a copy-paste-and-reformat job from a query you have to rewrite each time.
Ask for a breakdown and get a clean chart or table back instantly — formatted, labelled and ready to drop into the deck.
From question to visual in seconds.
Your data is sensitive and cannot leave the building, so cloud tools are off the table.
Run in the cloud, in your own VPC, or fully air-gapped. The Desktop app and Embedded SDK keep data local — nothing leaves your walls.
Your data stays where it lives.
MySQL, Postgres, Mongo, Excel, CSV, PDFs and REST APIs. iDBQuery connects them and builds one live queryable model — no warehouse project, no pipelines, no middleware.
iDBQuery reads the question, pulls from every connected source at once, and returns the answer as text, a chart, a table or a live widget. Every answer cites the exact source row it came from.
Pin the answer to a live dashboard. Schedule a report to land in inboxes. Hand it to the Analyst to investigate. Export to PDF, Excel or CSV. Every action is logged to the audit trail.
A figure shows up in a spreadsheet. The detail behind it is a row in Postgres. The contract is a PDF. The latest reading comes from a REST API. iDBQuery traces the chain from question to answer in one step, citing every source it touched.
Underneath, iDBQuery builds one live queryable model from everything you connect. When a spreadsheet references a record, when an API ties a value to an entity, when a PDF backs a figure, iDBQuery joins them. Ask a question and it surfaces every linked row across every source — with a citation on each one.
Read how it worksFor finance teams who live in spreadsheets and ledgers. Ask across budgets, actuals and forecasts; get variance, ratios and a cited number you can take into the board meeting. Every figure traces back to its source row.
See it for finance →K-12 intelligence and advisory, research intelligence, operations and portfolio analytics — the same engine, tuned per domain, connected to the data you already keep. Plain-English questions, cited answers, and an autonomous Analyst.
See it for your sector →Budgets, actuals and forecasts — connected. Ask across them in plain language and get variance, ratios and a cited number you can defend.
Finance and academic data asked as one question. Cited answers and an advisory read on where to look next.
From scattered records to a cited answer. Repositories, spreadsheets and APIs in one model, with an autonomous Analyst.
Live metrics across every system, plus portfolio rollups. Forecast and anomaly widgets surface what is trending before it bites.
Multi-tenant and hosted, with data residency set per customer. Up and answering in minutes.
Single-tenant in your own cloud account. Your data never leaves your infrastructure.
A Desktop app and an Embedded SDK keep data local. The AI runs on-site and nothing leaves your walls. For regulated and offline environments — same chat experience, fully offline.
Databases, spreadsheets, documents and REST APIs — one live queryable model.
Connect your databases, spreadsheets, PDFs and APIs. Ask in plain language. Get a cited answer in seconds.