Our Technology

/002 One model

Autonomously

Building the next steps

Our Technology

/002 One model

Our Technology

/002 One model

Autonomously

Building the next steps

Our Technology

/002 One model

Autonomously

Building the next steps

Flexion is the intelligencemodel that lets any robot understand, plan and act autonomously from a single instruction. Trained in simulation with reinforcement learning, it compresseshundreds of thousands of practice-years into days, so it picks up new skills faster and transfers to new robot bodies withoutstarting from a fresh dataset.

Technology /

Flexion is the intelligencemodel that lets any robot understand, plan and act autonomously from a single instruction. Trained in simulation with reinforcement learning, it compresseshundreds of thousands of practice-years into days, so it picks up new skills faster and transfers to new robot bodies withoutstarting from a fresh dataset.

Technology /

Flexion is the intelligencemodel that lets any robot understand, plan and act autonomously from a single instruction. Trained in simulation with reinforcement learning, it compresseshundreds of thousands of practice-years into days, so it picks up new skills faster and transfers to new robot bodies withoutstarting from a fresh dataset.

Technology /

Flexion is the intelligencemodel that lets any robot understand, plan and act autonomously from a single instruction. Trained in simulation with reinforcement learning, it compresseshundreds of thousands of practice-years into days, so it picks up new skills faster and transfers to new robot bodies withoutstarting from a fresh dataset.

Technology /

Training

Post-training

RL in sim

Pre-training

Data Sets

Specialist policies – sim + real
Ego-centric human videos
UMI

Agentic

Dexterous skills

Whole-body control

One model

Everything learned in one model

Deployment

Capabilities across robot fleet

Learn

Failures into new scenarios

Deployment experience improves the next model, capability and integration

Training

Post-training

RL in sim

Pre-training

Data Sets

Specialist policies – sim + real
Ego-centric human videos
UMI

Agentic

Dexterous skills

Whole-body control

One model

Everything learned in one model

Deployment

Capabilities across robot fleet

Learn

Failures into new scenarios

Deployment experience improves the next model, capability and integration

Training

Post-training

RL in sim

Pre-training

Data Sets

Specialist policies – sim + real
Ego-centric human videos
UMI

Agentic

Dexterous skills

Whole-body control

One model

Everything learned in one model

Deployment

Capabilities across robot fleet

Learn

Failures into new scenarios

Deployment experience improves the next model, capability and integration

One model for every robot: command, motion and control as layers of a single brain. Pretrained on specialist skills learned in simulation, post-trained with RL to production reliability, and running on 15+ robot platforms.

Our model /

One model for every robot: command, motion and control as layers of a single brain. Pretrained on specialist skills learned in simulation, post-trained with RL to production reliability, and running on 15+ robot platforms.

Our model /

One model for every robot: command, motion and control as layers of a single brain. Pretrained on specialist skills learned in simulation, post-trained with RL to production reliability, and running on 15+ robot platforms.

Our model /

One model for every robot: command, motion and control as layers of a single brain. Pretrained on specialist skills learned in simulation, post-trained with RL to production reliability, and running on 15+ robot platforms.

Our model /

General purpose

The same intelligence model performs locomotion and manipulation tasks across all robots.

Hardware platform agnostic

Our autonomy stack is deployed on 15+ robot morphologies, from fixed-base arms, and wheeled platforms to fully legged-and-armed humanoids.

Agentic

Mission-level reasoning that plans long-horizon work from a single instruction, replans when the scene doesn't match, and recovers under real constraints.

Whole-body control

Robust, perceptive control trained entirely in simulation, coordinating everything from feet or wheels to hands as one system, on any terrain.

General purpose

The same intelligence model performs locomotion and manipulation tasks across all robots.

Hardware platform agnostic

Our autonomy stack is deployed on 15+ robot morphologies, from fixed-base arms, and wheeled platforms to fully legged-and-armed humanoids.

Agentic

Mission-level reasoning that plans long-horizon work from a single instruction, replans when the scene doesn't match, and recovers under real constraints.

Whole-body control

Robust, perceptive control trained entirely in simulation, coordinating everything from feet or wheels to hands as one system, on any terrain.

General purpose

The same intelligence model performs locomotion and manipulation tasks across all robots.

Hardware platform agnostic

Our autonomy stack is deployed on 15+ robot morphologies, from fixed-base arms, and wheeled platforms to fully legged-and-armed humanoids.

Agentic

Mission-level reasoning that plans long-horizon work from a single instruction, replans when the scene doesn't match, and recovers under real constraints.

Whole-body control

Robust, perceptive control trained entirely in simulation, coordinating everything from feet or wheels to hands as one system, on any terrain.

Flüelastrasse 30
8047 Zurich, Switzerland