Physical AI.
On your
terms.

RAVN is built around private model development using customer-controlled infrastructure. We agree where your data is stored, who can access it, and any external services before work begins. Your operational knowledge is used to develop your own model within those agreed boundaries.

We define measurable success criteria with your team before training, then evaluate the model against your tasks, equipment, and operating conditions. You review the results before a live deployment. The first pilot is deliberately limited to one task on one machine, so you can judge performance before expanding.

The deployment is structured around a private model your organization owns and controls. Model ownership, access, deployment rights, and any underlying model licences are agreed before training begins, so your team knows exactly what it can use and retain.

RAVN is designed to work across supported robot types and manufacturers. Changing machines can require adaptation and fresh evaluation, which we scope with you. Your model and training workflow remain under your control as you expand beyond the first robot.

Your team brings the operational knowledge: the task, approved data, and the criteria for success. RAVN handles data preparation, model training or adaptation, evaluation, and deployment. We work with your operations, IT, and security teams on access and approvals; you do not need to assemble the training and deployment stack yourself.

A defined pilot around one task, one private model, and one supported machine, with agreed evaluation criteria and a review of the results. We confirm the data, hardware, integration work, and deliverables during scoping. The results determine what to improve and whether to expand to more machines or sites.