Data-Driven Transaction Execution at Scale

Standardized analytical frameworks, automated normalization, and cross-transaction benchmarks built from 200+ transactions completed in 2025 alone. Our diligence process surfaces economic drivers early and distinguishes deal-specific risk from category noise - resolving normalization, revenue sustainability, and working capital issues before they become re-trade drivers. Proprietary data models and comparative analytics enable faster, higher-confidence investment decisions with clean IC- and lender-ready outputs.

STOC functions as a scaled corporate development extension, leveraging structured data, market mapping, and repeatable screening frameworks to prioritize add-on opportunities and create early underwriting conviction - without overloading internal teams. Our analytical approach enables pattern recognition across deal types, accelerates target identification, and delivers investment-grade screening that supports disciplined capital deployment across multiple concurrent platforms.

Because STOC leads diligence, post-close support carries forward the same financial models, assumptions, and performance metrics - preserving institutional knowledge from signing through integration and accelerating execution. Our integration planning is informed directly by diligence findings, eliminating knowledge loss and supporting faster value capture. The same team, same models, same analytical rigor - applied continuously from transaction close through operational stabilization.