I've assessed technical organisations from the inside as a CTO and architect. I know the difference between technical debt that's manageable and architectural decisions that will require expensive rewrites. I can evaluate whether a team's velocity is sustainable or built on shortcuts that will slow them down later.
My assessments follow a structured methodology covering seven core domains: technology stack and architecture, security and compliance, scalability, technical debt, development practices, team capability, and intellectual property. Each domain receives a scored assessment with RAG status, giving you a clear picture of where the risks lie and what they'll cost to address.
My technical due diligence reviews are thorough but pragmatic. I'm not looking for perfection. I'm looking for risks that affect valuation, integration complexity, or post-acquisition delivery. I assess through documentation review, code analysis, and stakeholder interviews.
I use AI-augmented analysis tools to assess large codebases quickly, including custom tools like Codebase Spider and vector database analysis with AI. The same approach I used to analyse 390+ repositories for documentation coverage and identify architectural patterns. This means I can evaluate technical assets faster and more thoroughly than traditional manual review.
All engagements are conducted under strict confidentiality. I work under NDA as standard practice and treat your technical assets, business strategies, and deal details with the discretion they require. My experience in sensitive due diligence contexts means I understand the importance of information security throughout the assessment process.
You get a structured report prioritising technical risks by business impact, with specific recommendations and cost estimates for remediation. The report is written for non-technical stakeholders: board members, investors, business leaders who need to understand technical risk without wading through technical jargon.