Scalable Intelligence Across Fleets
When one robot learns, the whole fleet gets smarter. Shared knowledge means faster scaling and better performance.
Continuous Learning from Real Data
Our robots improve by learning from real-world data. The more they operate, the better they get.
Smarter Robots with Every Interaction
Every interaction makes our robots smarter. More tasks, more learning, better results.
- Our Data Flywheel
The Power of Imitation Learning
Our robots learn by watching humans. With imitation learning, a human demonstrates a task, and the robot observes, processes, and learns how to perform it independently. This approach allows fast, intuitive training without complex programming, enabling our robots to adapt quickly to new tasks in dynamic environments. The result? Smarter robots that can handle real-world challenges with ease.
Adding new capabilities is as simple as demonstrating new tasks. Each new task enhances the robot’s skill set, allowing it to tackle more complex jobs. This means your robots keep getting smarter, more versatile, and more valuable over time.
Our robots can generalize from a single demonstration to handle variations of the same task. Once trained on one scenario, they can adapt to different environments without retraining.
Natural Training, No Expertise Required
Our intuitive training system makes it easy for anyone to teach the robot new tasks. No coding or robotics expertise is needed—just demonstrate the task, and the robot learns. In just a few hours, operators can train and deploy robots to handle complex, real-world jobs with ease.