making robots smarter, faster

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 tested “on the fly”  by everyday operators.

Our approach dramatically reduces labor costs, requires no teleoperation data, and unlocks new markets such as custom packaging, sonography, and retail folding and shelving.

Embodied Intelligence for Operators and Developers

Mbodi can be integrated into any robotics stack with just two api calls. It's designed to have 100% reliable 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.

Intuitive Operator-Robot Interaction
Gone are the days of tedious and inflexible robotics scripts. With intra-context learning and advanced LLMs, Mbodi AI makes it easy for non-ML experts to teach robots new skills, provide guidance, and even troubleshoot issues using just voice commands.

Streamlined Learning Process
Every action and observation is processed to continually train your robot, resulting in a more useful system that reduces time spent on repetitive tasks.

Improved Reliability with Generative Data
Standard models can struggle in new environments, with failure rates reaching 50%. Generative data augmentation reduces these types of failures by up to 80%, enhancing your product’s accuracy and performance in unfamiliar scenarios.

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

frequently asked questions

How does Mbodi AI lead to cost savings?

Mbodi AI streamlines the data collection process, enabling the system to be operated by resources with lower ML expertise. Our service also reduces the volume of task-specific data requirements to match in-distribution performance. This efficiency allows teams to devote more time to iterating on experiments and refining outputs, ultimately saving costs and accelerating the development cycle.

Are large language models inherently too slow for robotics?

While Large Language Models (LLMs) are traditionally associated with slower processing times, Mbodi AI's compositional semantic caching, quantization, and model distillation techniques ensure your robot remains rapid and responsive, even in complex analytical tasks.

Why Not Solely Rely on Simulations?

Real-world experience provides the richest data for refining AI models. Mbodi AI prioritizes actual operational data, using data augmentation to build upon this foundation. This process effectively filters out inconsequential variations between environments, focusing instead on meaningful data that drives precision and relevance in outcomes.

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