We built a diligence platform over the firm's existing tools, sequenced so intake and document capture came first, then the coordination and memo work that only becomes possible once findings are records rather than recollections. Every extraction is confirmed by a person before it reaches a memo.
Intake and structured capture
Inbound teasers and offering memoranda from the shared inbox are reduced to fields: revenue, earnings and the adjustments claimed to get there, sector, ownership, banker, asking multiple, and deal perimeter, with name variants proposed as matches against existing records. A pass requires a written rationale and a category before the record closes.
Data room document pipeline
When a letter of intent is signed, the opportunity record opens into a diligence register carrying the earlier teaser, memorandum, and pass rationale. Documents are classified into the firm's taxonomy rather than the seller's folder names, then put through targeted extraction of change-of-control provisions, termination rights, and concentration disclosures, footnotes included.
Workstream and question coordination
Every accepted finding gets a workstream, a named owner, a materiality flag, and a target memo section. Open findings generate the outbound request list, checked against the data room index and every prior request before it goes out. The tracker and the question log stopped being two records.
Quality of earnings and findings linkage
Each proposed adjustment enters the register with its rationale and the account and counterparty it touches. Findings naming the same counterparty appear together whichever workstream raised them, so a rebate adjustment in a databook and a concentration footnote in an appendix sit on one screen. That view is the difference between day 44 and day 8.
The data-bound committee memo
The memo assembles from the register and binds to a published version of the operating model, with the bridge from reported to adjusted earnings built from accepted adjustments rather than retyped. A partner clicking a concentration number lands on the page it came from, and when the model changes the memo shows a difference rather than quietly disagreeing.
Pipeline analytics and screening
Fourteen months of the inbox were loaded retrospectively, and screening runs across that history: what the firm has seen in a sector, at what multiple, and what it passed on that later traded. New opportunities are scored against the firm's criteria and prior passes, as a ranked read for a partner, never a decision.