Mbodi AI creates an embodied artificial intelligence platform that enables industrial robots to learn and operate like humans. Leveraging advanced generative models and natural language processing, the system allows operators to teach machines new skills using spoken instructions. Once instructed, the robots can reliably execute these newly acquired tasks in production environments within minutes. The company is actively collaborating with global industrial leaders such as ABB to implement these solutions on factory floors.
Key points
Operators can train industrial machinery directly using spoken instructions to accelerate…: Operators can train industrial machinery directly using spoken instructions to accelerate factory floor adaptability.
The company applies advanced generative models to real-world industrial operations to mod…: The company applies advanced generative models to real-world industrial operations to modernize physical manufacturing automation.
Backing from Y Combinator and top investors supports the deployment of human-like learnin…: Backing from Y Combinator and top investors supports the deployment of human-like learning models in robotics.
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Industrial Robots that Learn and Operate Like Humans
Mbodi is an embodied AI platform that makes robots learn like humans, with natural language. So anyone can teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes. We are pioneering the next wave of robotics, where advanced generative models meet real-world applications. Backed by top investors and already working with global industrial partners (e.g., ABB), we’re redefining what’s possible in robotics and automation.
The benchmarking platform has teamed up with Liva AI to evaluate speech recognition models against genuine conversational accents from North and West Africa. Sourced directly from everyday consumer product usage, these private evaluation sets help prevent artificial optimization on public tests while addressing historical data blind spots. The initiative broadens performance tracking by categorizing regional varieties under Kachru’s Three Circles model.
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