Rayzor builds autonomous robotic systems that replace traditional single-machine ice resurfacing with a coordinated fleet of robots. By leveraging NVIDIA Isaac for simulation‑based training, the fleet operates in parallel to cut downtime, eliminate single points of failure, and speed up resurfacing without disrupting rink workflows. The solution targets ice‑rinks seeking higher availability and lower operating costs through scalable, reliable automation.
Funding
Funding not disclosed
Founders
Product
Problem
Ice resurfacing relies on a single, heavy machine that must stop play, creating unavoidable downtime and a single point of failure. For venues with tight schedules and narrow margins, this downtime reduces ice availability and raises operating costs.
Solution
Rayzor replaces the traditional monolithic resurfacer with a coordinated fleet of autonomous robots that work in parallel to resurface ice. The fleet‑based approach shortens resurfacing time, eliminates the risk of a single machine breaking down, and integrates into existing rink workflows without major infrastructure changes. Autonomy is built on NVIDIA Isaac, using high‑fidelity simulation to train and validate robot behavior before deployment, ensuring safe and reliable operation in the complex environment of an ice rink. By distributing the work across multiple smaller units, Rayzor reduces operating costs and improves schedule flexibility for venue operators.
Target Audience
Primary customers are ice rink operators and sports venue managers who need to maximize ice availability while minimizing downtime and maintenance costs.
Features
- Fleet of lightweight autonomous robots that operate simultaneously to perform ice resurfacing tasks
- Parallel operation eliminates single points of failure and reduces overall resurfacing time
- NVIDIA Isaac‑based autonomy stack with simulation‑driven training and validation for reliable performance
- Seamless integration with existing rink schedules and workflows, requiring no major facility modifications
- Real‑time coordination and monitoring of robot fleet to ensure consistent resurfacing quality