Safety
At Hyperplane Labs, we believe AI systems must be designed with safety and privacy as foundational principles, not afterthoughts.
Privacy by design
We build systems that protect user data through architectural choices, not just policy. Our research explores privacy-preserving techniques that allow AI collaboration without compromising personal information.
Secure deployment
Our runtime environments are designed with security at the core, ensuring AI agents operate within defined boundaries and cannot access unauthorized resources.
Transparent development
We commit to publishing our research openly and collaborating with the broader AI safety community to address emerging challenges.
European values
Our work reflects European priorities: GDPR compliance, data sovereignty, and user control over personal AI systems.