Technical Due Diligence
Know which technical risks move the price, before you sign.
From codebase to IC-ready findings in hours — CodeDD scans, interprets and writes up the evidence, so your deal team focuses on the decision, not on reading code.
Executive health indicators
Sample project · 55 repositories · 2.6M lines of code- 80%+
- less expert time on DD work, as reported by a Big Four advisory team
- 6 hrs
- from repository access to first insight on a SaaS platform
- 100+
- outputs per audit, from code health to AI-native score
- 314
- audits behind every benchmark you see
How it works
One platform does the scan, the interpretation and the write-up.
You get the answer, not the homework.
Scan the full codebase
Rule-based analysis across every repository, language and dependency, legacy code included. Secure cloud or on-prem.
Interpret what it means
An AI insight layer turns findings into scores, verdicts, cost estimates and plain-language explanations, each confidence-scored and traceable to file level.
Automate the evidence
An IC-ready executive report, a contextual dashboard and security and risk reports, pushed into your IC memo and DD report through MCP and API.
Client snapshot
CodeDD broadened the scope of our technical diligence and shortened the timeline. Our investment committee now sees every asset's technical risks based on evidence, not counterparty representations.
Benchmarking
See where the target stands at a glance. Every repository, scored against 314 audits.
Where each repository stands, in context
Sample project · 55 repositories · 2.6M lines of codeBands: good 67 to 100, medium 34 to 66, critical 0 to 33. Global benchmark is the platform average across 314 audits. Each dot is one repository; on desktop, hover it for its name and score. Illustrative data.
Contextual dashboard
Findings you can defend at IC. Every finding traces back to the exact repository and file.
Code health
▲ 3% QoQ
Innovation rate
innovation vs maintenance
Key person dependency
Technical debt
of codebase / est. remediation
Engineering effort allocation
Share of commits by work type, per quarter
CodeDD reading
Bug-fix share has grown sevenfold in two quarters while feature work fell to 25%. Ask management what shipped in Q1/26, and whether the release quality issue is linked to the 36% DevOps concentration.
Top findings, ranked by deal impact
1,240 findings / 5 shown
| Severity | Area | Finding | Repository | Effort | Confidence |
|---|---|---|---|---|---|
| Critical | Security | SQL injection in reporting export endpoint | api-billing | 2 days | 0.94 |
| High | Architecture | Shared orders database, no read replicas | svc-orders | 3 wks | 0.88 |
| High | Key person | 36% of DevOps code by one contributor | ops-gateway | Retention | 0.97 |
| Medium | Tech debt | Pricing logic duplicated across 4 services | svc-orders | 6 wks | 0.81 |
| Medium | Licences | AGPL dependency in billing export library | api-billing | 1 wk | 0.90 |
Trust and security
Your target's code stays private.
Encrypted, ephemeral analysis in isolated environments. Code is never stored beyond the scan, never seen by people and never used to train models. On-prem via the CodeDD CLI for strict data residency.
Certifications
Independently certified against ISO/IEC 27001 and SOC 2, with controls audited on an ongoing basis.
No model training
Analysis is encrypted and ephemeral. Code is never stored beyond the scan and is never used for model training.
Built for deal teams and their advisors
Role-based access for your deal team, external advisors and the target's management, with an on-prem CLI when the target requires it.
FAQ
Questions deal teams ask us.
How is CodeDD different from a code scanner like SonarQube or Snyk?
Scanners report what they find to engineers. CodeDD combines rule-based scanning with an AI interpretation layer, so the output is verdicts, cost estimates, benchmarks and a remediation plan that a deal team and IC can act on directly.
How long does a technical due diligence take?
First insight typically lands within hours of connecting a repository. A full executive report and dashboard, benchmarked against prior audits, is usually ready within a few days depending on codebase size.
Does the target company need to share its source code with you?
No permanent sharing is required. Analysis runs in an isolated, ephemeral environment with read-only access. Code is never stored beyond the scan, and an on-prem CLI is available when the target has strict data residency requirements.
Which languages and repositories are supported?
CodeDD analyses modern and legacy languages across an unlimited number of repositories in a single pass, connecting directly to GitHub, GitLab, Azure DevOps and Bitbucket.
Can we pull the findings into our IC memo?
Yes. Every finding, score and chart is available through the CodeDD MCP server and API, so results can be pushed directly into your IC memo or DD report rather than copied by hand.
What happens to the baseline after the deal closes?
The same evidence layer carries into the hold period. Re-running the audit on a cadence gives a like-for-like comparison against the entry baseline, so progress on remediation and value creation stays measurable through to exit.
Run your next technical due diligence in hours, not weeks.
Secure setup, answers you can take to the IC, and a baseline that keeps working after close.