The runtime trust layer
for Physical AI.

Vyra Systems - stealth-stage company building runtime safety and trust infrastructure for autonomous physical systems.

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

Autonomy is scaling faster than the systems built to govern it. The next decade of Physical AI requires a continuous, runtime layer that enforces intent, policy, and constraint at the moment decisions become motion.

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.