Keye

Keye is an AI due diligence platform for private equity investors. It ingests the raw files in a virtual data room, cleans and categorizes the data, and turns it into structured analyses: cohort trends, margin movements, cost drivers, revenue by segment and the other cuts a deal team would otherwise build by hand. The vendor pairs language models with deterministic data pipelines so that every calculation is reproducible, and every figure links back to the source document and the formula behind it. It is built by former private equity investors for deal teams that want to reach a decision faster without lowering their standard of evidence. Capabilities that matter include automatic scanning and compilation of VDR files into usable tables, risk flags tailored to an investor profile, deep dives such as pivots by segment, market and cohort, an analyst style chat interface for changing tables and analyses on the fly, and Excel exports with live formulas rather than hardcoded cells. Spreadsheets can be edited and uploaded again so the platform updates the analysis. Keye learns a firm's investment thesis and deal criteria and applies them to each new deal, and it tracks performance across a fund's deals to benchmark against history. Pricing is not published. Keye sells to funds through demos, and its pricing page currently returns a not found error. The vendor states that it retains no customer data, does not train on customer files, encrypts data end to end, and holds SOC 2 Type II certification.