TECH & AI27 June 2026· 16 min

Private Equity: Automated Acquisition Target Scoring — The Quantitative Edge

Name: InekIA
Rating: 4.8 (12 reviews)

How leading PE firms are deploying machine learning pipelines to score thousands of acquisition targets in hours instead of weeks, achieving 34% higher IRR on AI-screened deals. A full methodology, benchmark data, and ranked action plan.

InekIA Editorial Team

LI X

SOURCES

[1]Bain & Company — Global Private Equity Report 2024 (bain.com/insights/topics/global-private-equity-report/)

[2]Preqin — Digital Readiness in Private Equity Survey 2024 (preqin.com)

[3]AlixPartners — Private Equity Deal Sourcing Benchmark Study 2024 (alixpartners.com)

[4]McKinsey & Company — M&A Analytics: How Data-Driven Dealmaking Creates Value, 2023 (mckinsey.com/capabilities/m-and-a)

[5]Pitchbook — US PE Middle Market Report Q4 2024 (pitchbook.com/news/reports/q4-2024-us-pe-middle-market-report)

[6]Harvard Business Review — 'When Algorithms Run Private Equity', March 2024 (hbr.org)

[7]NBER Working Paper #31842 — 'Machine Learning and Private Equity Returns', 2023 (nber.org/papers/w31842)