The runtime trust layer
for Physical AI.

Vyra Systems - stealth-stage company building the runtime trust and authorization layer for autonomous physical systems.

A new infrastructure category positioned between AI decision systems and the physical world: runtime authorization for machines. Adjacent to, but distinct from, observability, MLOps, IAM, and traditional functional safety.

Humans authenticate, authorize, then execute. Machines today authenticate and execute - with no equivalent of authorization in the loop. As Physical AI scales, the missing layer is the one that decides, in real time, whether the next action is still allowed given the world as it now is.

Industrial-scale robotics deployments, edge inference in the physical environment, converging AI safety regulation, and the rising cost of public, physical-world AI failure.

Disclosed under mutual NDA. Initial design partners are operators in robotics, autonomous mobility, and industrial AI.

Disclosed under mutual NDA. Combines runtime systems engineering, policy modeling, and a defensible data position formed through partner deployments.

Operators and researchers with prior experience across autonomy, safety-critical systems, and large-scale infrastructure. Named biographies shared on request.

Active conversations with multiple design partners under confidentiality. Specifics shared selectively.

Not running a broad process. Engaging a curated set of strategic investors aligned with deep-tech, infrastructure, and Physical AI.

Architecture, partner names, deployment specifics, and roadmap are disclosed only after mutual fit is established and a written NDA is in place.