October 29, 2025

Automating Deal Sourcing and Due Diligence

Industry:
Private Equity
|
A mid‑market private‑equity firm aimed to scale its investment pipeline but was constrained by manual deal sourcing and lengthy due‑diligence processes.
Share:

Industry

Private Equity

Region

North America

Company Size

500-600

Key Results

70%

Reduction in analyst hours spent on initial deal sourcing and screening

3X

Increase in qualified deals identified per quarter

25%

Faster completion of due‑diligence reports using automated data extraction

Enhanced fit scores

AI‑driven scoring models prioritized targets that matched investment criteria

The Challenge

Investment professionals spent countless hours scanning news feeds, databases and industry reports to identify potential acquisitions. Once prospects were found, analysts manually compiled financials and market data for preliminary assessments. The process limited the number of opportunities the firm could evaluate and slowed its pace.

Our Solution

SA Technologies delivered an AI Deal‑Sourcing Platform that:

  • Aggregated structured and unstructured data from news, filings and proprietary databases to surface potential targets.
  • Used natural‑language processing to interpret qualitative signals such as executive commentary and market sentiment.
  • Automated financial extraction and benchmarking for faster preliminary due diligence.

Results & Impact

Analysts now spend 70% less time on initial sourcing while receiving three times as many qualified opportunities. Automated extraction reduced due‑diligence turnaround by 25% and AI‑driven scoring improved alignment with the firm’s investment theses. Deal teams can focus on strategic analysis rather than administrative research.

"The AI platform has expanded our deal funnel without adding headcount. We’re making better decisions faster and finding opportunities we would have missed"

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