Key features
- Automated analysis of entire codebases — 1800+ technology and architecture patterns, plus AI-validated security and per-file quality review — delivering consistent reports in hours rather than weeks.
- Quantification of technical debt, security posture, and remediation effort in time and money — so findings can inform valuation and deal terms.
- Continuous portfolio monitoring of code health, delivery velocity, and security exposure after close.
- Investor-ready outputs that translate technical findings into evidence-backed recommendations a deal team can defend.
- A single workflow spanning pre-deal diligence and post-close value creation.
AI capabilities
Uses context-aware AI — not signature scans alone — to read codebases in architectural and deal context, validate security and quality findings, estimate remediation effort, and track technical debt over time.
Integrations
Connects to common source-code repositories and CI/CD systems (e.g. GitHub, Azure, Bitbucket) to ingest code and track change. A local-first option keeps source on the client’s infrastructure when required.
More information
Founded in 2025, CodeDD compresses and standardizes technical due diligence and portfolio monitoring for software-heavy businesses. By applying AI to the codebase itself, it reduces the manual load on CTOs, advisors, and engineering teams while increasing coverage and consistency — a necessary shift as a growing share of production code is now machine-written.