عبر كل مصدر لديك. يربط iDBQuery قواعد البيانات وجداول البيانات والمستندات — ويقوم محلل مستقل بالتحقيق وتوثيق كل نتيجة.
From cryptic schemas to a ranked, cited answer — with an agent doing the legwork.
Hand it a question and it investigates across every connected source on its own — running queries, following threads, and ranking findings by impact.
A semantic layer maps obscure table and column names to plain meaning, so you query a database that was never built to be readable.
Each result traces back to the source rows behind it, so you can verify the reasoning and publish with the working attached.
MySQL, Postgres, Mongo, Excel, CSV, PDFs and REST APIs join one model. No warehouse project, no pipelines to maintain.
Index papers, reports and contracts page by page. Ask a question and get the answer with the exact file and page it came from.
An autonomous analyst investigates the whole dataset and ranks what matters, with the evidence behind each finding.
MySQL, Postgres, MongoDB, Excel, CSV, PDF and Word documents, and REST APIs. Thirty-plus source types, connected into one model. No middleware required.
Bring your datasets. We'll run the demo on your real data.
MySQL, Postgres, MongoDB, Excel, CSV, PDFs and REST APIs — thirty-plus source types. iDBQuery connects them and builds one queryable model, with no warehouse project and no pipelines.
No. iDBQuery reads your sources where they already live and builds one live model on top. There is no copy step and nothing to keep in sync.
Every number traces back to its source row. Click any figure to see exactly where it came from and the query behind it — no black box.
Yes. iDBQuery runs in the cloud, in your own VPC, or fully air-gapped. The Desktop app and Embedded SDK keep data local, so nothing leaves your walls.