Mbodi's innovative approach enables users to prompt the software with natural language, leveraging a cluster of AI agents to simplify the training process.
Traditionally, programming robots to perform tasks like packing boxes or surgery requires individualized training for each movement or task, limiting adaptability in real-world scenarios.
Mbodi aims to revolutionize robot training with AI agents, making it easier and quicker. The company will demonstrate this technology as a Top 20 Startup Battlefield finalist at TechCrunch Disrupt 2025.
The New York-based company has developed a cloud-to-edge system, integrating into existing robotic tech stacks, utilizing multiple AI agents to gather information and facilitate faster robot learning.
Mbodi's software relies on a multitude of AI agents that communicate with each other to gather the needed information to help a robot learn a task faster.
Upon deployment, Mbodi will collect data and learn from real-world use cases, further enhancing its capabilities.
Author's summary: Mbodi simplifies robot training with AI agents.