Solution
For deal teams in private equity, M&A advisory, and private credit: the entire data room ingested, classified, and indexed on day one — including a precise list of what the seller has not provided.
The problem
Thousands of files, inconsistent naming, CIMs next to scanned contracts next to half-labeled spreadsheets. The first week goes to finding out what is even there — time straight out of the review period.
The material clause sits in a file named final_v3_updated.pdf. Teams that trust filenames skim past what matters and re-read what doesn't.
Credit, legal, and financial workstreams each keep their own tracker of the same room — and the three quietly drift apart.
The product, not a promise
How it works
The full data room loads as delivered — CIMs, financials, contracts, presentations, in any structure.
Each file is identified by type and mapped to the diligence checklist it satisfies.
Documents become searchable by content and concept, not just filename.
Key terms, figures, and dates are pulled into structured records, each linked to its source page.
The team works one prioritized workspace: what is answered, what conflicts, what is still missing.
Who it's for
Deal associate
Deal lead / partner
IC / legal counsel
Data rooms arrive as they were assembled: thousands of files, inconsistent naming, CIMs next to scanned contracts next to half-labeled spreadsheets. The first week of diligence is usually spent building an inventory of what is even there — time that comes straight out of the review period.
The platform ingests the room as delivered, identifies each file by reading its content rather than trusting its filename, and maps every document to the diligence checklist item it satisfies. What you get on day one is what teams normally have by week two: a complete, classified inventory, including a precise list of what the seller has not provided — while there is still time to ask for it.
Classification is the floor. Agents extract the material substance — financial figures from statements and models, key terms from contracts, dates and parties from corporate records — into structured records, each linked to the exact page it came from. Everything else becomes searchable by concept, so “termination rights in customer contracts” finds the clauses whether or not the word appears in the filename or even in the clause. Analysts stop skimming folders and start answering questions.
Diligence conclusions end up in front of investment committees, lenders, and lawyers, so provenance is the working standard. Every extraction in the workspace traces to its source document and page, and material findings are reviewed and approved by the team before they harden into the deal narrative. When a number in the model is challenged, the answer is one click away — the page it came from, in the document the seller provided. The same workspace serves the whole deal team, so credit, legal, and financial workstreams stop maintaining three private inventories of the same room.
Objections, answered
Every extracted term, figure, and date links to the exact page it came from in the document the seller provided. Material findings are reviewed and approved by the team before they harden into the deal narrative, so what reaches the model has been looked at.
Yes — files are mapped to your checklist items, not a generic taxonomy. Coverage is measured against what your process requires, and the gap list is phrased in your checklist's terms, ready to send back to the seller.
The room stays in a governed workspace under your access controls, workstream by workstream. Every extraction and approval is logged, so you can show counsel exactly who saw what and where each conclusion came from.
Ingestion, classification, and indexing run as the room loads. The complete inventory and gap list are typically ready on day one, which is when they are worth the most.
Watch it become a classified, searchable diligence workspace — gap list included — live in the demo.
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