
Robotics in hospitals, labs, and clean rooms runs under rules other industries never see — validation, traceability, uptime, and safety that regulators actually check. We build the off-robot software — data, fleet operations, and operator tools — to that standard, so the robots hold up where it counts.
Mostly Layer 01 and the tooling around it — the data, validation, and observability infrastructure that clinical and lab robotics have to prove, not just build.
Our healthcare work is under the tightest NDAs we hold. The closest published deployments, by problem shape: data capture at fleet scale, and systems that make field behavior inspectable.
We audit your data and validation flow — capture to training to eval — and hand you a scoped plan for the infrastructure gap that most threatens uptime or sign-off.
A senior pod builds the pipeline and tooling layer alongside your team — production engineering discipline, at the pace the clinical calendar allows.
We keep the infrastructure running and evolving as the deployment grows — validated, documented, and audit-ready as it scales.
If it has to hold up under inspection, that's exactly what we build.
