An Embodied AI Platform For Robotics

Seamlessly integrate generative AI into existing robotics stacks
Check out what we're building

We’re building end to end learning systems for today’s production needs


Enabling large scale production systems to be modified and adapted “on the fly”  by everyday operators.

Our approach dramatically reduces labor costs, requires no teleoperation data, and unlocks new markets to enable true flexible automation

Embodied Intelligence for Anyone

Mbodi can be integrated into any robotics stack easily and reliably with 100% uptime—a mandate that the founders carried over from their time managing Google's Public DNS—regardless of any embodiment, networking infrastructure, or device hardware.

Generality

Teaches robots new tasks through natural language in minutes. Works across diverse environments, products, and workflows without needing specialized code or integration.

Interactivity
Understands natural language commands and real-time feedback. Adapts on the fly to changing conditions, instructions, or product SKUs—no downtime or retraining required.

Scalability
Runs across fleets with full reproducibility. Modular architecture ensures every AI model, sensor, and robot can be added, updated, or swapped without coordination overhead.

Reliability
AI that performs as expected. mbodi turns learning into stable, predictable behavior you can trust in production.

we're building this for hobbyists, researchers, and robotics companies

mbodi ai dramatically reduces time, costs, and engineering efforts to teach robots new skills continually, and reliably

Unique human-robot interface

Through intra-context learning and powerful LLMs, mbodi ai enables non-ML experts to teach new skills, provide oversight, and even diagnose problems using only voice and demonstration.

End-to-end learning

Every visual observation and action taken is pipelined to continually train your robot, Agent, or World Model. Iterate through experiments faster, so you can dedicate your time to what matters.

Generative Data Augmentation

Even SOTA models can face up to a 50% failure rate in unfamiliar settings. Early research indicates that generative data augmentation can decrease this failure rate by 80%, significantly improving both reliability and accuracy in unfamiliar settings.

see it for yourself


continually reduce Weekly cost by using mbodi aI to increase automation and throughput