For technology advisors
Let your experts do the work only experts can do.
CodeDD automates the evidence behind every technical and AI due diligence mandate, so your experts start from answers rather than raw data.
Executive health indicators
Sample project · 55 repositories · 2.6M lines of codeTrusted by
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
Benchmarking
See where the target stands at a glance. Every repository, scored against 314 audits.
Each repository is scored on seven dimensions against the project average and the CodeDD global benchmark, so your client sees where the asset stands.
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.
The shift
From code scan to software intelligence.
AI has changed how software is built. The tools advisors rely on were built for engineers, not for deal decisions.
Traditional code scans
Built for engineering teams
- Built for engineers, not deal questions.
- Lots of data, little interpretation.
- Rule-based, built for pre-AI development.
- Separate tools for security, quality and AI.
- Manual and slow to repeat across mandates.
CodeDD software intelligence
Built for technology advisors and investors
- Built for deal teams and their advisors.
- Analysis and interpretation in one workflow.
- Rule-based precision plus AI assessment.
- Security, quality and AI in one analysis.
- One consistent method across every mandate.
Delivery leverage
CodeDD delivers full-codebase evidence in hours, so your experts can focus on judgement.
CodeDD takes over evidence gathering, triage and translation. That lowers cost-to-serve and frees your experts for high-value advisory work.
From codebase to DD-ready findings
Automated evidence production
- Full-codebase analysis, enriched by an AI insight layer that goes beyond traditional scans.
- Less manual evidence gathering, triage and translation.
Repeatable across teams
Standardised delivery
- A common evidence framework, scoring logic and report structure.
- Faster onboarding and more consistent delivery across the practice.
Fits existing workflows
Integrated practice layer
- Easy data exports, or direct integration through MCP and API.
- Replaces a stack of separate tools with one evidence layer.
Explainable evidence
Results that stand up to client and IC scrutiny.
Your name goes on the report. Every CodeDD result comes with transparent scoring, confidence levels and evidence you can check.
- 01
Transparent scoring
Scores broken down by component, weighting and logic.
- 02
Validated findings
Each finding is checked, confidence-scored and evidence-backed.
- 03
Full-codebase evidence
Traceable from summary down to repository, category and file.
- 04
Variance-tested outputs
Consistency tests measure scoring variance.
- 05
Context-aware analysis
LLM-based analysis that supports modern and legacy languages.
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.
Big 4 advisory
Embedded in EY-Parthenon's technical due diligence workflow.
Start your first scan
One platform for technology diligence and monitoring.
Secure and fast setup, with results delivered in hours.
ISO 27001
SOC 2