Product
AI Due Diligence
Data-room review where every finding is linked to the exact page of the exact document it came from, so a reviewer can verify rather than trust.
What it does
Data-room requests
A tracked request list with status per item, due dates, and the uploaded document that fulfils each one — so the gap between what was asked for and what arrived is visible.
Findings with evidence
Each finding carries a category, a severity, and references to the specific document chunks that support it. A reviewer can open the page rather than take the summary on faith.
Financial review
Quality of earnings inputs, working capital, and revenue concentration computed from the imported ledger rather than transcribed from a deck.
Document triage
Contracts, statements, and management accounts are classified on upload, so a large data room is navigable on day one.
Deal workspaces
Multiple concurrent deals, each isolated, each with its own findings and request list.
Audit trail
Who read which document and when. Every access is logged, which matters when the diligence file itself becomes evidence.
How answers are produced
Every figure comes from a deterministic calculation against your imported data, returned with its inputs and a step-by-step trace. The assistant chooses which calculation to run and explains the result; it never computes the number itself.
Where a question cannot be answered from the data you have loaded, the answer says what is missing rather than estimating.