It is just trapped across a dozen systems that were never built to talk to each other. iDBQuery connects them — so everything you have can answer one question, in plain language.
One team runs on a dozen systems. Records live in MySQL and Postgres. Operational data sits in Mongo. Numbers hide in Excel and CSV exports. Context is locked inside PDFs nobody has fully read. Live feeds come through REST APIs.
Every organization generates more data than it can use. The cost of that gap shows up as slow decisions, conflicting reports and numbers nobody can defend — value lost in the space between systems.
We had lived the Monday-morning ritual: six logins, three spreadsheets and a number you still could not defend. Pulling one cross-source answer meant a ticket to the data team and a wait of days.
Then the obvious hit us. The data was already there — it just needed a single live model on top and a way to ask in plain language. That is iDBQuery: connect every source, build one queryable model, and let anyone ask — with every figure cited back to its exact source row.
One question, in plain language, answered from every connected source — with the exact row, record, clause or page it came from. No SQL. No data team. No black boxes.
Every number traces back to its source. Click any figure to see exactly where it came from.
We deploy in the cloud, in your own VPC, or fully air-gapped where the work demands it. You choose where iDBQuery runs and where your data stays.
We hire engineers who care about correctness, customer leaders who have lived the analytics grind, and people who would rather ship something dependable than something loud.
If data that should answer but cannot is the problem you cannot stop thinking about, we should talk.
[email protected] →iDBQuery is built and operated by Intrazero, a Cairo-based applied-AI company building products across education, data and operations. Built by Intrazero →