The manual diligence workflow in private markets is fundamentally a document problem. Data rooms hold hundreds of PDFs, the relevant figures are scattered across them, and the steps between raw disclosure and an IC-ready memo are repeated by hand for every fund evaluated. Fund Due Diligence, the newest module on the QFT platform, compresses that process from weeks to hours.
What the module does
Fund Due Diligence takes a data room as input, extracts the fund-level and deal-level disclosures, reconciles them against QFT's benchmark datasets, and generates a structured memo aligned to common IC templates. The output is not a black box: every figure in the memo is traceable back to the underlying document, page, and table.
The module covers the three steps that account for the majority of manual diligence time: data capture, peer benchmarking, and narrative drafting. Analysts retain full control over interpretation and final sign-off; the platform absorbs the mechanical work.
How we built it
The extraction layer uses a combination of structured parsing for spreadsheet-originated tables and large language model pipelines for narrative disclosures. Every extracted value is cross-checked against QFT's canonical fund and deal schemas, which have been hardened over four decades of proprietary buyout data.
Benchmarks are produced using the same decomposition framework QFT applies in its rating methodology, so the peer group and attribution tables in the generated memo are consistent with the analytics allocators already use elsewhere on the platform.
Available now to QFT platform subscribers. Contact your QFT representative to enable the module for your team.