Navigating the EU AI Act shouldn't require a law degree, and auditing it shouldn't require a computer science degree.
ComplianceRadar.dev is an automated technical discovery and risk assessment platform designed to bridge software engineering and legal compliance. We help technical teams, compliance officers, and legal professionals map live AI architectures to the strict requirements of the EU AI Act.
The Problem: The Translation Gap
The EU AI Act classifies AI systems by risk, with fines of up to 35 million EUR for misclassification or missing documentation. The challenge is not only understanding the law, but translating it into implementation evidence. Legal teams should not have to manually inspect complex repositories and API architectures, and engineering teams should not have to translate every technical decision into Annex IV language from scratch.
How ComplianceRadar.dev Works
Automated Risk Classification
Upload your system architecture or workflow and quickly determine whether your AI falls under Minimal, Limited, High, or Prohibited risk categories.
Annex IV Gap Analysis
We translate technical infrastructure into concrete data governance, logging, and human oversight requirements expected by EU AI Act regulators.
Audit-Ready Checklists
Convert broad regulatory text, including transparency obligations like Article 50, into actionable UI/UX and backend engineering work items.
Built for the Modern Compliance Workflow
Whether you are a CTO unblocking a product roadmap, a compliance or risk leader protecting the enterprise, or a legal team scaling AI audit workflows, ComplianceRadar.dev provides a practical technical x-ray for faster and more defensible EU AI Act readiness ahead of the 2026 enforcement timeline.
Who is behind ComplianceRadar.dev
Damir Andrijanic is a full-stack developer and compliance systems architect based in Germany. After building AI-powered SaaS products in the EU market, he founded ComplianceRadar.dev to solve a recurring gap: teams shipping AI products without clear visibility into their regulatory obligations.
His work focuses on making EU AI Act compliance actionable for engineering teams, not just legal teams, by turning dense legal text into practical technical checklists, evidence-ready workflows, and audit-friendly outputs.
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