How does iDBQuery help an investor or VC?
An investor or VC can use iDBQuery to analyse portfolio and diligence data in plain language across data rooms, financials and metrics, with every figure cited to its source. It joins those files into one live model, so diligence and portfolio monitoring rest on traceable numbers rather than manually rebuilt spreadsheets.
Investors live in other people's data — data rooms, financial models, KPI trackers and messy exports. iDBQuery joins them into one live model and answers in plain language, citing every figure to its source, so diligence and monitoring move faster and rest on numbers you can trace.
Questions an investor or VC asks iDBQuery: - What are this company's revenue growth, gross margin and burn trends over the last three years? - Reconcile the metrics in the pitch deck against the raw financials in the data room. - Across my portfolio, which companies are burning fastest relative to runway?
iDBQuery ingests spreadsheets, CSVs, and even folders of PDFs with OCR, so a whole data room becomes queryable without manual re-keying. Every answer cites the exact source, so you can validate a founder's claim against the underlying numbers rather than take it at face value. Ask follow-ups in one thread to move from a headline metric into the detail, and export a cited summary for your investment memo. For portfolio monitoring, build a live dashboard that refreshes as companies send updated data — turning diligence and reporting from a spreadsheet marathon into a conversation.
Updated 2026-06-22