Thoma Bravo – AI-Powered Deal Sourcing Engine
How AI automation identified 3x more qualified targets and accelerated due diligence by 80%
Problem
Thoma Bravo's deal team manually reviewed 5,000+ potential targets annually using spreadsheets and PDFs. Process took 6 analysts full-time, missed 60% of off-market opportunities, and took 3-4 weeks for initial diligence. Competitors using AI were winning deals with faster, more comprehensive analysis.
Solution
Built custom AI deal sourcing platform that ingests data from 50+ sources (PitchBook, CapIQ, web scraping), scores companies on 200+ proprietary signals, generates automated investment memos with financial analysis, monitors trigger events (leadership changes, funding rounds), and provides real-time competitive intelligence. System learns from past successful deals to improve targeting.
Impact
- More qualified targets identified3x
- Faster initial diligence80%
- Off-market deals sourced47
Situation & Problem
Thoma Bravo's deal team manually reviewed 5,000+ potential targets annually using spreadsheets and PDFs. Process took 6 analysts full-time, missed 60% of off-market opportunities, and took 3-4 weeks for initial diligence. Competitors using AI were winning deals with faster, more comprehensive analysis.
Solution Overview
Built custom AI deal sourcing platform that ingests data from 50+ sources (PitchBook, CapIQ, web scraping), scores companies on 200+ proprietary signals, generates automated investment memos with financial analysis, monitors trigger events (leadership changes, funding rounds), and provides real-time competitive intelligence. System learns from past successful deals to improve targeting.
Key Capabilities
- Multi-source data aggregation and normalization
- Proprietary scoring algorithm with 200+ signals
- Automated investment memo generation
- Real-time trigger event monitoring
- Competitive intelligence and market mapping
- Integration with existing deal management systems
- Machine learning from successful deal patterns
- Natural language search across all deal data
Client Voice
"This AI engine is like having 50 analysts working 24/7. We're seeing deals competitors don't even know exist. The quality of insights and speed of analysis has fundamentally changed how we source and evaluate investments."
— Managing Partner, Thoma Bravo
System Architecture
Implementation Approach
Pilot (2–4 weeks)
Define Tier‑1 fields and workflows, run on real data, add human‑in‑the‑loop review, and measure time‑only ROI.
Scale (4–8 weeks)
Expand coverage, enable analytics, and harden integrations and governance.
Ready to achieve similar results?
Let's discuss how we can transform your operations with AI. Our team delivers measurable impact in weeks, not months.