The source of known truth

Vehicle autonomy grounded in physics. Deployed at the edge.

Most autonomous systems learn the world from scratch — burning compute on what physics already tells you for free. We start with what’s known.

Life’s easier when you cheat.

a priori (adj.) — knowledge derived from known truths through logical reasoning from first principles.

We start with what’s known: the dynamics, the constraints, the limits. Then we build adaptive systems on top of that foundation. The result is autonomy that performs at the physical edge, not the statistical average.

Three platforms. One physics-informed foundation.

Perception → Dynamics → Action

OPTIK

Real-time 4D perception to detect and track targets while localizing the ego vehicle. OPTIK fuses spatial and temporal data into a unified world model — not just what’s there, but how it’s moving and what it can do next.

Perception · Detection · Tracking · Localization

DYNAMIK

AI platform to characterize and predict mobility capabilities — both ego and target. DYNAMIK infers physical properties in real time to determine what a vehicle can physically do, not just what it appears to be doing.

Dynamics inference · Prediction · Characterization

KINETIK

Full-stack autonomy integrating OPTIK™ and DYNAMIK™ to navigate or engage targets rapidly and safely. KINETIK closes the loop from perception to physics-informed action — operating at the limit of platform performance.

Full-stack · Navigation · Engagement · Control

Where physics-aware autonomy matters most.

Defense

Kill chain superiority C-UAS Surveillance

Mission-critical autonomy in contested, high-speed environments — including the peri-urban transition zone where standard perception breaks down and physics-aware decision-making determines mission outcome.

Urban

ADAS Smart cities Autonomous vehicles Vehicle dynamics research

Physics-informed control for the edge cases that statistical approaches miss at speed. As ADAS matures, the gap between good enough and genuinely safe narrows — dynamics-aware systems close it.

Rural

Off-road navigation Agriculture

Unstructured terrain where GPS is degraded and map priors don’t exist. Dynamics inference fills the gap — adapting to surface conditions and vehicle state in real time.

Indoor robotics

Warehouse robotics Surveillance Traffic monitoring

Constrained environments where real-time dynamics characterization enables tighter, safer operation at higher throughput than conventional approaches allow.

Build with us.

We work with defense primes, integrators, and government programs that need autonomous systems capable of operating where physics matters most. Whether you’re exploring SBIR collaboration, algorithm licensing, or embedded SDK integration — let’s talk.

contact@prioridynamics.com