Your facility isn't static. Shelf layouts change. Patrol routes get adjusted. Volume grows. We account for this in how we build and maintain deployments.

If you expand your warehouse or add a new section to the patrol area, we update the facility simulation to include the new space and retrain the robot for the expanded environment. The original facility model is preserved as the baseline — we extend it rather than start from scratch.

If you want the robot to take on additional tasks it wasn't originally deployed for — for example, a warehouse robot that starts doing shelf scanning in addition to transport — that requires a training update. The feasibility and scope of the update depends on the hardware's physical capabilities and the complexity of the new task. We'll assess it and scope it as a change request.

If you want to scale up the number of robots at a facility, adding units is faster than the initial deployment because the facility simulation already exists. New units are trained in the existing simulation environment and deployed.

Minor patrol route adjustments and configuration changes are routine and handled as part of post-deployment support. Significant capability additions, facility expansions, or additional hardware are scoped and quoted as change requests.

Tell us what you're considering — we'll tell you what's involved →