Full-Stack EU AI Act Compliance

What We Scan

Our scanner checks your entire codebase against the EU AI Act requirement engine and returns a clear, actionable score — not a wall of legal jargon.

Code Analysis

Detects AI/ML libraries, model training code, and inference pipelines in your source code. Works with Python, JavaScript, TypeScript, Java, Go, and more. Flags high-risk patterns like bias-prone logic, missing logging, and absent human-oversight hooks — mapped directly to EU AI Act articles.

Config Audit

Reviews configuration files for AI settings, security issues, credential exposure, and compliance gaps. Checks model metadata, data handling config, and deployment settings against Article 11 documentation requirements.

Dependency Check

Identifies AI service integrations and ML package dependencies in your project. Flags packages with known governance risks, checks for outdated models, and verifies supply-chain integrity — a key factor under the Act's risk-management obligations.

Compliance Report

Generates a detailed PDF report with a 0–100% compliance score, risk-level breakdown per requirement, specific file-level findings, and a prioritised remediation plan. Ready to share with EU buyers, auditors, or your internal compliance team.

15 Core Requirement Areas Covered

Every scan checks your codebase against the full EU AI Act requirement engine — not just a handful of easy wins. The 15 areas span risk management, data governance, transparency, technical documentation, human oversight, accuracy, robustness, cybersecurity, logging, and more.

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See Your Score Right Now

Upload your code, get a compliance score mapped to 15 requirement areas, and download a PDF report. Free — no signup.

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