making robots smarter, faster
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
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.
Our Partners
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.