PRIVATE EQUITY · DEAL SOURCING
AI Deal Sourcing and Origination Scoring for Private Equity
Score your entire target universe against your investment thesis and surface motivated-seller signals, from founder succession to corporate carve-outs to distress, before a banker ever runs a process. The interactive example below shows what OutcomeCatalyst builds from your CRM, market data, and public records to turn proprietary deal flow into a ranked, actionable call list.
AI deal sourcing for private equity: common questions
What is AI-powered deal sourcing?
AI deal sourcing scores every company in your target markets against your acquisition thesis and scans filings, news, and hiring for ownership and intent signals, so your team focuses on the targets most likely to both fit and transact.
How does it find off-market and proprietary deals?
By reading unstructured public records, founder age and tenure, first-time CFO hires, corporate carve-out signals, and distress filings, then connecting them into one motivated-seller signal months before a company reaches a banker.
How is this different from a data provider or CRM?
A data provider gives you a bigger list and a CRM stores names. OutcomeCatalyst builds a knowledge graph that scores fit and actionability against your closed-deal history, so you get a ranked call list instead of another database.
