TECH & AI5 April 2026· 16 min

Private Equity: Automated Acquisition Target Scoring — The Quantitative Edge

How leading PE firms are deploying machine learning scoring engines to reduce target sourcing time by 60% and improve deal IRR by 8-12 percentage points. A full methodology, benchmark data, and actionable implementation roadmap.

InekIA

InekIA Editorial Team

LI X

SOURCES

[1]Bain & Company — Global Private Equity Report 2023: Deal Team Efficiency and Technology Adoption Survey

[2]Preqin — Global Private Equity & Venture Capital Report 2024 (AUM and deal flow benchmarks)

[3]McKinsey & Company — Global Private Markets Review 2023: 'The Data Advantage in PE Sourcing'

[4]PitchBook — Private Equity Dealmaking Activity and Funnel Conversion Benchmarks, Q4 2023

[5]Dealogic — M&A Analytics: Mid-Market Deal Flow and Intermediary vs. Proprietary Source Performance, 2023

[6]Grata / Sourcescrub — Platform Case Studies and Vendor-Disclosed Customer Outcome Data, 2023-2024

[7]Academic Reference: Gompers, P., Kaplan, S., Mukharlyamov, V. — 'What Do Private Equity Firms Say They Do?', Journal of Financial Economics, 2016 (foundational methodology)