Industrial grade intelligence for the future of production
We’re building AI-powered teams of robot workers that deploy fast, learn fast, and work fast for any task in the warehouse or factory.
Our intuitive robotic platforms
Working now: Cassie - The robot for the entire warehouse
Cassie is the versatile, one-fleet solution for warehouse operations. We’ve already deployed hundreds of Cassies across the US to execute autonomous case-picking, palletizing, depal, induction, and storage without human supervision. Cassie operates in existing warehouse environments, without the need for new shelving, racking, or peripherals.
Thanks to Tutor’s leading-edge AI research, Cassie will keep learning new warehouse tasks. Soon, it will be able to take over truck unloading, raw material movement, pallet storage and retrieval, turning the chaotic warehouses of today into the fully autonomous warehouses of the future.
Coming soon:
Sonny – the robot worker for everything else
Sonny is the next step in fast, full facility automation: a low-complexity humanoid robot designed to handle complex, manually intensive work anywhere in the factory. Sonny skips mechanical complexity in favor of speed, precision, and effectiveness, making it possible to deploy and integrate for any manufacturing or machine tending task in days, without requiring changes to existing infrastructure or workflow.
Sonny’s AI is continually trained on real-world production tasks in our facility, making it fast and easy to deploy for any specific need. Skip the flashy pilot with over-engineered humanoids. We’ve created a humanoid fleet that can be deployed into production right now, achieve the speed and repeatability of other automation systems, and help you speed up production in even the most complex manual environments.
Research that reveals the future of effective automation
Tutor is a research-led, deployment focused robotics lab. We don’t do research just to develop capabilities in a vacuum; we're doing it because we believe that advances in physical artificial intelligence will transform the global supply chain. Today’s fast-paced, high-variability warehouses and factories are best positioned to take earliest advantage of this coming revolution.
We're building an infinite, easily scaled labor supply that’s as flexible, smart, and intuitive as a human workforce to deliver value directly into the organizations that move the world's goods. Every breakthrough we make translates directly into production, making our industry partners faster, more precise, and more profitable.
Evolving
Robots on the ground, coast-to-coast
Evolving
Deploying Tutor robots gives you a unique advantage. We’ve already got robot fleets deployed and scaling in facilities across the country, giving us a constant, high-volume stream of real-world data, which we use to continually improve our solutions, delivering new capabilities and cost savings to our customers.
DEPENDABLE
Trained to succeed on everything you need
DEPENDABLE
Tutor’s robotic platforms are pre-trained in our facility on your specific tasks, and deployed ready to work. Because each team of robot workers is deployed ready to work, they integrate with your systems and processes fast, and work flawlessly from the moment they are deployed.
REVOLUTIONARY
Automation that’s transformative, not disruptive
REVOLUTIONARY
Automation should be a strategic advantage for your business, not a costly disruptor. We build our solutions around the idea that they should be as easy to onboard as your human workforce. Every fleet we deploy comes fully supported by our team, learns by working in production, and can be paid for out of your operating budget.
True end-to-end automation
Our vision is of a fully automated future that can be delivered now, not in 6 months. Cassie and Sonny unlock true, full-facility lights-out automation. Get in touch to learn how you can scale fast, and get to work.
Ready to deploy?
Let's discuss your specific operational needs and see how Cassie can start making an impact. Schedule a free, no-obligation consultation with our team today.
