STAISIX is an AI Compliance Engineering platform that embeds AI governance, risk, security, privacy, and regulatory compliance directly into GitOps and CI/CD pipelines. It continuously validates AI systems before deployment, blocks non-compliant releases, and automatically generates audit-ready evidence—helping engineering teams build compliant AI from day one.
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Maker
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Hi Product Hunt!
I'm Constant, the founder of STAISIX. Thanks for checking us out!
Over the past year, I've spoken with engineering, security, and compliance leaders who all shared a similar challenge: AI governance is still largely a manual process that happens after systems are built; or worse, after they're deployed.
We built STAISIX because we believe AI compliance should work more like DevSecOps.
Instead of relying on spreadsheets, documentation reviews, and point-in-time audits, STAISIX integrates directly into GitOps and CI/CD pipelines to continuously validate AI governance, privacy, security, risk, and regulatory requirements before AI reaches production. If required controls aren't met, deployments can be blocked until the issues are resolved.
Our goal isn't to slow developers down; it's to help engineering teams build compliant AI from the start while giving security, risk, and compliance teams continuous visibility into what's being deployed.
We're currently looking for Founding Design Partners to help shape the platform, so I'd especially love feedback from:
AI Engineers & ML Engineers
Platform & DevOps Engineers
Engineering Leaders
CISOs & Security Teams
AI Governance, Risk & Compliance professionals
I'd really appreciate your thoughts:
If your team is building AI applications today, how are you ensuring they're compliant before deployment?
Thanks for your support, and I'll be here throughout the day to answer any questions!