For private equity and venture capital
Repeatable technical insight across the full investment cycle.
Take control of technical diligence. See the risk in the code before you price the deal, then track the fix through to exit.
Project Atlas: since entry
1.5M lines of code · 12 applications · 4 scansOverall technical quality score, 0 to 100.
- 59Entry DDOct 2025
- 63100-day planJan 2026
- 65Q1 reviewMar 2026
- 71Q2 reviewJun 2026
- 70Target
- On target or better
- Less than 15% off target
- More than 15% off target
Trusted by
The investor challenge
AI has fundamentally changed how software is built.
Code is now written faster than ever and is harder to verify. Traditional Tech DD still depends on outside experts and pre-AI code scanners. It is slow, expensive and often a single point-in-time reference.
Enter CodeDD
AI-native software intelligence for investors
CodeDD consolidates your portfolio's technology landscape into one automated platform.
From deal screening to exit
Measure at entry. Improve through the hold. Defend at exit.
- Entry · Deal diligence
Measure
Know the real technical state of the asset before the price is set. Find the deal-breakers, the remediation cost and whether the AI is real.
- Hold · Value creation
Improve
Turn findings into the 100-day plan. Rescan every quarter and track progress on the same benchmark.
- Exit · Readiness
Defend
Show buyers a measured record of how the technology improved. Back your exit valuation with evidence buyers can verify.
AI due diligence
Know before you pay an AI multiple. Separate genuine AI in the product from API wrappers.
Locate where AI sits in the platform, classify real model integration versus wrapper use, and test whether the stack can carry the equity story, all evidenced at code level.
Project Atlas at entry · 1.5M LoC · 12 repos · 3 with AI signals
Technical due diligence
Get technical insight fast, then shape the deal with evidence.
See code health, key person risk, delivery and security before formal diligence begins. Use signals from the codebase to focus the diligence scope and support your valuation.
Executive health indicators
Project Atlas at entry · 1.5M lines of code · 12 applicationsPortfolio monitoring
One code baseline across every portfolio company.
Give operating partners objective telemetry instead of self-reported status. Compare code health, key person risk, security and delivery across the portfolio, track the 100-day plan, and build the exit narrative long before the buyer asks.
Portfolio technology baseline
Q2 2026 · five portfolio companies| Metric | Atlas | Company B | Company C | Company D | Company E |
|---|---|---|---|---|---|
| Code health0 to 100 | 71 | 64 | 52 | 45 | 76 |
| Key person dependencyshare of code by top developer | 17% | 12% | 51% | 27% | 9% |
| Innovation vs maintenanceinnovation share of engineering effort | 68% | 44% | 31% | 26% | 71% |
| Vulnerabilitiescritical / high | 0 / 2 | 1 / 14 | 6 / 39 | 12 / 71 | 0 / 5 |
| Scalability tierT1 most scalable, T5 least | T2 | T1 | T3 | T4 | T2 |
| Delivery (DORA) | |||||
| Release cycledays between releases | 6 | 4 | 12 | 25 | 5 |
| Lead time for changehours | 48 | 30 | 95 | 180 | 40 |
| AI adoption in development | |||||
| AI-written codeshare reaching production | 38% | 47% | 12% | n/a | 29% |
Trust and security
Built for sensitive deal workflows
Protect the target's source code, IP and operational security, and decide exactly who sees what.
Security standards
Independently certified against ISO/IEC 27001 and SOC 2, with controls audited on an ongoing basis.
Access you control
Role-based access for the deal team, operating partners and external advisors, with SSO and an optional dedicated domain. Code is never used for model training.
Ephemeral or on-prem
Analysis runs in isolated, encrypted environments that are deleted on completion. For strict data residency, run it inside your own infrastructure with the CodeDD CLI.
Private equity
Questions from deal teams and operating partners.
How does AI change technical due diligence?
AI speeds up how code is written and shipped. A codebase can change substantially within a single quarter, so a point-in-time review goes out of date quickly. Investors increasingly need to monitor technical risk continuously, and that only works when it is automated and cost-efficient.
How does CodeDD tell real AI from a wrapper?
CodeDD analyses the code itself to see where AI sits in the product. It shows whether AI is embedded in the architecture or limited to calls to a third-party API. Every finding traces back to the source files.
How is this different from a traditional Tech DD?
A traditional Tech DD is a point-in-time deep dive. It gives a detailed snapshot of the asset at signing, but it is expensive to repeat and is rarely rerun during the hold. CodeDD automates the analysis, so you can run the same assessment every quarter without commissioning a new engagement. Each scan is comparable to the last, which turns a one-off snapshot into continuous diligence across the holding period.
Does CodeDD replace our technical due diligence advisor?
It depends on your needs. Some of our clients have shifted much of their Tech DD to CodeDD and rely on our experts for the input they need to invest with confidence. We are happy to discuss your needs on a call.
What does the target or portfolio company need to provide?
Secure, read-only access to its code repositories. For strict data residency requirements, the analysis can also run inside the company's own infrastructure.
Client snapshot
CodeDD gave our investment committee the evidence to move fast and close our technical due diligence with confidence.
Get CodeDD
Bring earlier technical clarity into your next software deal.
See how CodeDD supports deal screening, portfolio monitoring and exit preparation.
ISO 27001
SOC 2