
Intelligence acting in the physical world.
Intelligence that moves.
Quannie Robotics brings perception, planning and action into physical machines.
- Perception→
- World model→
- Planning→
- Control→
- Action→
- Feedback
Robotics in depth
Intelligence that moves.
Embodied intelligence that perceives, plans and acts in the physical world.

Capabilities
- Perception
- Spatial intelligence
- Localization
- Navigation
- Planning
- Manipulation
- Control
- Embodied AI
- Autonomous systems
- Human-robot collaboration
- Simulation
- World and physics models
- 01
Perception
Cameras, depth and range sensors are fused into a live understanding of surroundings: surfaces, objects, free space and people.
- 02
Spatial intelligence
The machine keeps a consistent map of where it is and what is around it, so it can reason about space rather than react to single frames.
- 03
Planning
Tasks are decomposed into routes and motions that respect the environment, the machine's limits and the people nearby.
- 04
Control
Plans become precise, safe movement through closed-loop control that responds to what the sensors report as the action unfolds.
- 05
World and physics models
Learned models of how environments and objects behave let machines anticipate outcomes and practice in simulation before acting.
- 06
Platform and applications
A common stack for perception, planning and control, intended to support a family of machines and a developer platform as they become public.
Coming next
- Products
- Platform
- Developers
Product family, platform and developer pages will be published as they become public.

Deployment
Built beyond the demo.
Quannie systems are designed to move from models into real environments, across cloud software, private infrastructure, edge systems and physical machines.
- Cloud
- Web
- Desktop
- Enterprise Cloud
- Private Cloud
- Customer VPC
- On-Premise
- Air-Gapped
- Edge
- Physical Machines
Deployment targets the platform is designed for. Availability varies by product.
