AI Governance Platform

Stop Guessing.Start Shipping.Governance You Can Trust.

Stop second-guessing AI contributions. Start shipping with confidence using quality scores and actionable findings that drive continuous improvement.

Component Score8.7/10
Release Ready
Hygiene8.4
Quality8.2
AI Trust8.5
Security9.1
DORA9.0
Start Building TrustExplore Metrics →
Quality Framework

5 Pillars
of Quality

Comprehensive scoring across every dimension that matters for AI-driven development.

Hygiene8.4

Code reviews, branching, documentation

Quality8.2

Test coverage, complexity, maintainability

AI Trust8.5

Human oversight, tracking, guardrails

Security9.1

Vulnerabilities, dependencies, secrets

DORA9.0

Deploy frequency, lead time, recovery

Platform Capabilities

Human-in-the-loop governance
that accelerates AI

Core Feature

Human-in-the-Loop Governance

AI can generate code 41% faster, but speed without control leads to chaos. Our platform ensures human expertise validates critical decisions while AI handles the repetitive work.

Critical Checkpoints

Automated workflows pause for human review at security boundaries, compliance gates, and architectural decisions

Smart Escalation

AI identifies when human expertise is needed based on complexity, risk, and regulatory requirements

Traceability

Versioning & Provenance

Complete traceability of AI-generated code with comprehensive audit trails.

  • Git-based version tracking
  • AI contribution attribution
  • Compliance audit trails
Testing

Test Metrics & Insights

Connects with your existing testing tools to analyze coverage, quality trends, and test effectiveness.

✓CI/CD metrics ingestion
✓Coverage trend analysis
Security

Continuous Security Checks

45% of AI code fails security tests. We catch vulnerabilities before they reach production.

→Static & dynamic analysis
→SOC2, HIPAA, PCI-DSS checks
Live Dashboard

Score components 0-10.
Know when to ship.

Policy-driven scoring evaluates Security, AI Trust, Quality, DORA metrics, and Code Hygiene. Each component gets actionable findings with clear 0-10 scores.

9.2
user-service
Auto-release ready
+0.3
6.8
dashboard-ui
Manual review required
stable
4.1
legacy-service
Release blocked
-0.7
Team Alpha+0.3 improvement
8.2/10
Hygiene
6.8
Quality
7.6
AI Trust
8.5
Security
9.1
DORA
8.9
Actionable Findings3 recommendations available
View →
Results

Success metrics that build
developer confidence

6.2→8.7AI Trust ImprovementQuality Scores
95%Production IncidentsReduction
+25ptsDeveloper ConfidenceSatisfaction
90%Release VelocityFaster
Industry Data

AI is breaking developer trust

Industry data reveals the hidden costs of unmanaged AI code generation.

45%

Security Failures

Veracode 2025: AI code fails security tests

33%

Developer Trust

Stack Overflow 2025: Trust AI-generated code

75%

Tech Debt Crisis

CodeScene 2025: Impacted by high tech debt

The Hidden Productivity Drain

Developer Time Lost to Technical Debt40%

CodeScene

Developers Debugging AI Code More66%

Stack Overflow 2024

Increase in Code Duplication800%

GitClear 2024

AI generates 41% of all code — but without proper guardrails, it's creating more problems than it solves.

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Join teams using quality scores and actionable findings that drive continuous improvement.

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