Trusted by private equity & Big4 advisory firms
Software Intelligence for the AI Era
Transform complex codebases into decision-ready insights in hours. Built to give tech leaders, investors, and advisors direct visibility into software health and performance.
Book a DemoExecutive health indicators
Sample repository · 700k lines of code · 55 applicationsTrusted by
The new diligence & value lever
AI made code cheap to generate but harder to trust
Rapid AI development increases codebase complexity. Unlocking asset value requires code transparency to verify what you own, surface hidden technical debt, and execute a clear plan to modernize and scale.
Enter CodeDD
We bridge the gap between complex codebases and business decisions
AI due diligence
Verify AI claims. Separate genuine AI model integration from API wrappers.
Locate where AI sits in the platform, classify real integration versus wrapper use, and assess whether the stack can support the roadmap, all evidenced at code level.
2.5M LoC · 12 repos · 5 with AI signals
Portfolio monitoring
One automated code baseline across your entire portfolio.
Replace manual data requests and fragmented tools with objective, code-level telemetry across every asset. Track technical debt and DORA metrics to drive post-close value creation and build a defensible exit narrative long before the buyer asks.
Portfolio technology baseline
Q2 2026 · five portfolio companies| Metric | Company A | Company B | Company C | Company D | Company E |
|---|---|---|---|---|---|
| Code health0 to 100 | 78 | 66 | 58 | 42 | 72 |
| Key person dependencyshare of code by top developer | 18% | 6% | 47% | 34% | 12% |
| Innovation vs maintenanceinnovation share of engineering effort | 52% | 48% | 35% | 22% | 75% |
| Vulnerabilitiescritical / high | 0 / 1 | 2 / 27 | 9 / 48 | 17 / 94 | 3 / 12 |
| Scalability tierT1 most scalable, T5 least | T1 | T2 | T3 | T3 | T2 |
| Delivery (DORA) | |||||
| Deployment frequencydeploys per week | 22 | 14 | 9 | 3 | 18 |
| Lead time for changehours | 42 | 61 | 88 | 210 | 36 |
| AI adoption in development | |||||
| AI-written codeshare reaching production | 55% | 41% | n/a | 0% | 34% |
Investment lifecycle
Fast, repeatable, in your control. Run the same analysis at every stage with your own team, and rely far less on external partners.
- 01Entry
Deal screening and due diligence
Know the technical risk before you bid, scope formal DD with focus, and walk into the IC with findings you can defend.
- 02Hold
Monitoring and value creation
Track quality, security, delivery cadence and remediation progress. Benchmark each company against its peers.
- 03Exit
Readiness check and vendor DD
Show an improvement story that stands up to buyer diligence, on AI adoption and delivery speed as much as code health.
For advisory teams
Scale expert judgement, not manual effort. CodeDD automates the evidence layer, so experts focus on validation and precision advice.
The baseline established in a technology or AI DD becomes a reusable evidence layer for 100-day planning, technology value creation, portfolio value creation and exit readiness.
Less evidence gathering, triage and translation across Tech M&A mandates.
Common scoring logic and report structure, so delivery is consistent across teams.
Pull findings straight into your report templates and generate first-draft DD sections automatically.
Trust and security
Built with enterprise security standards
Controls and safeguards for your code and data, wherever it runs.
Security standards
Independently certified against ISO/IEC 27001 and SOC 2, with controls audited on an ongoing basis.
Your data stays yours
Analysis is encrypted and ephemeral. Code is never stored beyond the scan and is never used for model training.
On-prem code handling
The CodeDD CLI allows on-prem deployment for teams with stricter requirements.
Start your first scan
One platform for technology diligence and monitoring.
Secure and fast setup, with results delivered in hours.
ISO 27001
SOC 2