Technical Due Diligence for Private Equity & M&A
Documentation is theater. The system under real load is the only witness that matters.
Most technical due diligence is built from interviews and architecture diagrams the target company wrote about itself. That is not diligence, it is a confession read back to the confessor. This engagement replaces that with forensic evidence: database query execution stress-tested under synthetic peak load, deployment rollback ratios audited, and key-person dependency measured against tribal runbooks that were never written down.
Agentic AI changes the calculus further. Autonomous systems introduce a liability surface that a traditional code review was never built to catch, because the risk is rarely in the code itself, it is in what the agent is allowed to do unsupervised. A target running agentic AI in production without an audit trail for its autonomous actions carries a risk category that a standard engineering review will miss entirely.
What the Engagement Covers
Synthetic peak-load testing against the primary data layer, not a reading of its documentation.
Auditable measurement of tribal-runbook dependency and single-engineer failure points.
A distinct audit of what autonomous systems are permitted to do unsupervised, and what that exposes.
Rollback ratio and failover behavior audited against real incident history, not stated SLAs.
Proof & Pedigree
24+ years stabilizing platforms past 30M+ active users, cutting infrastructure burn by 28% to 36% without rewrites. NASSCOM Emerging 50 Technology Leader (2022). Training spans DRDO / DIAT (AI/ML & Cyber Warfare) and ISRO / IIRS (Space Engineering), where failure tolerance is not negotiable.
Frequently Asked
What does a technical due diligence engagement actually deliver?
A forensic report on the target's software architecture, operational moats, and AI agent liability, built from stress-testing the system under synthetic peak load rather than reading its documentation or interviewing its engineers.
How is this different from a standard code review or architecture walkthrough?
A code review checks whether code works as written. This audits whether the platform survives peak load, whether recovery knowledge exists outside one engineer's head, and whether agentic AI systems carry liability the codebase itself cannot show.
Who typically commissions this engagement?
Private Equity firms, venture capital teams, and strategic acquirers evaluating a target company's software durability before capital is committed, usually in the weeks before a term sheet or final close.
What is the typical turnaround for a pre-close technical audit?
Scope depends on system complexity, but most pre-close engagements are structured to fit inside a standard 2 to 4 week diligence window, with an initial risk-rated summary available earlier if the deal timeline is compressed.