squash-ai is an open-source CLI tool designed to automate EU AI Act compliance for machine learning teams. It integrates with CI/CD pipelines, generates compliance artifacts like SBOM/MLBOM, supports policy-as-code, and enables model signing, streamlining governance and regulatory adherence for AI projects.
In the LLM eval & observability space, squash-ai takes a focused approach. It automates compliance with the EU AI Act for ML teams, reducing manual effort and risk in model governance. It is built as an open-source project for machine learning teams. squash-ai is open source under the Apache-2.0 license. It runs on the command line.
It is developed by konjoai, and the product first shipped in 2026. Development happens publicly on GitHub with 223 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — squash-ai occupies a relatively distinct niche. Key capabilities include EU AI Act compliance, CI/CD integration, and policy as code.
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