Mbodi AI dramatically reduces time, costs, and engineering efforts to teach robot new skills and bring true intelligence into any robots compositionally.
Every visual observation and action taken is pipelined to continually train your Agent or World Model. Iterate through experiments faster, so you can dedicate your time to what matters.
Through powerful intra-context learning and the marvel of LLMs, Mbodi AI enables non-ML experts to teach new skills, provide oversight, and even diagnose problems using only voice and demonstration.
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.
Cross embodiment robot foundation model customizable for every robot hardware everywhere. Learn new tasks compositionally.
Mbodi AI streamlines the data collection process, enabling both lower ML expertise and volume of task-specific data requirements to match in-distribution performance. This efficiency allows teams to devote more resources to iterating on experiments and refining outputs, ultimately saving costs and accelerating the development cycle.
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.
Real-world experience provides the richest data for refining AI models. Mbodi AI prioritizes actual operational data, utilizing data augmentation only 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.
Co-founder and CEO
Roboticist, ML Researcher, and designer of the Serve Stale feature of Google's Public DNS
Co-founder
Previous tech lead at Google and "Secret Guardian" of the whole internet
If you're interested in one of our open positions, start by applying here and attaching your resume.
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