Technical Due Diligence

Investors and acquirers need more than a code review before committing capital to a software business — they need a clear, evidence-based read on whether the target's technology, team, and roadmap can support the plan being underwritten. Our due diligence engagements are built for that moment: focused, time-boxed assessments that separate real technical risk from noise and translate findings into terms both engineering and deal teams can act on.

M&A Technology Assessment

We evaluate a target's codebase quality, system architecture, and scalability against its growth plan, alongside security posture, compliance exposure, and SDLC maturity. That technical picture is paired with a review of the engineering organization — team depth, hiring pipeline, and key-person risk — and the product roadmap's feasibility, so the diligence output speaks directly to the acquirer's ability to execute after close, not just the state of the code today.

Post-Close Value Creation

Findings only matter if they turn into action. Every engagement produces a prioritized remediation plan and a 100-day roadmap that new ownership can hand straight to the engineering leadership team, covering near-term risk mitigation, technology roadmap reprioritization, and — for platforms built through multiple acquisitions — a path to rationalizing overlapping systems and organizations.

AI-Enabled Diligence & Delivery

Where it adds real signal, we bring modern AI tooling into the diligence process itself — prototyping automation opportunities inside the target's stack and benchmarking where agentic engineering practices could meaningfully cut delivery cost and time. Those same practices carry forward into the post-close roadmap, giving portfolio companies a concrete, low-risk starting point for adopting AI-assisted development rather than a generic mandate to "use AI."