We help robots gain an understanding of the physical world: which skills fit which task, what happens when they act, and how to learn better. The reasoning brain above motor control. And the same engine secures, orchestrates, and tunes the model infrastructure behind real deployment — all grounded in the engine.
Beyond stopping harmful actions, we give robots a working model of their task: which skills fit which situation, what happens when they act, and how to learn better. A decision layer that runs above motor control — so a robot knows what to do and whether it is safe.
A robot consults knowledge of the physical world to choose the right skill for the right task — and only acts when its preconditions are met. It's the difference between a robot doing the correct action confidently and one trying a generic move that doesn't fit the situation.
Knowledge built for one domain combines with another to create capability neither has alone. A robot that understands load limits can handle fragile objects safely. Safety plus physical understanding plus task knowledge stacks into behaviors a single capability can't produce — new ability from crossing what's known, not from guessing.
When a robot behaves a certain way, we can trace which factors in its environment drove the decision — and when a behavior is being trusted for the wrong reason, we can identify the cause and improve the training signal. That's auditable decision-making, not a black box.
Every action a robot proposes is verified first first. Supported actions proceed; unsupported ones are refused with a clear reason; irreversible or person-affecting ones require human sign-off. Protection that works on the action itself — which can't be talked around.
From model security to production inference — we build the full stack that turns a language model into a safe, reliable, cost-efficient system.
Checks that show whether a model's output is reliable or not. Guardrails that detect and block harmful outputs before they reach users — not after. Six layers of defense from input validation to output verification.
Multi-model pipelines that route requests to the right model based on task, cost, and latency constraints. Agent workflows that coordinate tool calls, context windows, and fallback chains. Built for reliability — every step observable, every failure recoverable.
Systematic optimization of prompt strategies, retrieval pipelines, and model parameters. Rigorous testing that isolates which changes actually improve quality versus which only appear to. Evaluation harnesses that test on real workloads, not benchmarks.
Production serving infrastructure with streaming, batching, and caching for sub-second responses. Custom inference paths for specialized domains — from security intelligence feeds to robotics safety monitors. Built to scale from single-user demos to enterprise throughput.
We don't guess what works — we prove it. Every system we build is grounded in verification: testing whether changes cause real improvement or just correlate with it.
Every model output is verified first — is the claim backed by evidence, or is it a hallucination? We build guardrails that catch failures before users see them.
Not every request needs the most expensive model. We build orchestration layers that route by task complexity, cost budget, and latency requirements — with full observability.
Prompt changes, retrieval pipelines, parameter sweeps — all tested with rigorous testing that separates real improvement from noise. No more "it feels better" tuning.
Inference engines with streaming, batching, and caching. Custom serving paths for specialized domains. Production monitoring that catches degradation before users do.
Our apps are built on the same platform — deployed and running.
Tactical mission simulation with an approval step before each decision.
Available on requestInteractive safety demo for a robot arm. Actions are checked before they are carried out.
Available on requestSpatial productivity app for planning and tasks.
Available on requestSecurity intelligence feed that reviews each event before it is reported.
Available on requestPersonal organization platform with task capture from dictation.
Available on requestEdge vision for industrial monitoring.
Available on requestFitness tracking and progress insights.
Available on requestLanding page for the Physical AI Operating System.
Available on requestInteractive mathematical diagrams and visualizations.
Available on requestIf you're deploying AI systems and need them to be safe, reliable, and cost-efficient — we should talk.