TECH & AI1 April 2026· 16 min
Private Equity: The Quantitative Playbook for Automated Acquisition Target Scoring
How leading PE firms are deploying machine-learning scoring engines to screen 10,000+ targets annually, cut deal sourcing costs by 40%, and improve post-acquisition EBITDA multiples by 1.8x versus peer benchmarks. A full methodology inside.
SOURCES
[1]Bain & Company — Global Private Equity Report 2024 (deal funnel statistics, competition data)
[2]PitchBook — PE Deal Sourcing & Origination Benchmarks Q3 2024 (auction bidder counts, time-to-close data)
[3]McKinsey & Company — 'From Art to Science: Data-Driven Deal Origination in Private Equity' (2023)
[4]Preqin — Private Equity Fund Performance & Operational Benchmarks 2024 (EBITDA multiple comparisons, sourcing cost data)
[5]Harvard Business Review — 'The Algorithm That Finds Acquisition Targets Before They Come to Market' (2023, case study methodology)