Covariant AI is a software company focused on applying artificial intelligence to robotics. Its core work is building a general-purpose AI platform that enables robots to perform a wide range of real‑world tasks.
The core product is Covariant Brain, an AI software platform designed to act as a common “brain” for multiple robot hardware types. The company also offers the RFM-1 robot foundation model.
The company primarily targets warehouse and logistics automation—including picking and sorting—and also serves manufacturing and other industries that require intelligent robotic solutions.
RFM-1 is a commercial robot foundation model with multimodal capabilities: it understands instructions, predicts task outcomes, and can request human guidance when encountering difficulties.
Customers and partners include Otto Group (Europe), Radial, McKesson, and collaborations with industrial robot suppliers such as ABB and Knapp.
By deploying AI robots for goods‑to‑person picking and related operations, Covariant helps increase warehouse throughput and uses automation to improve business resilience against order variability.
The company was founded by UC Berkeley professor Pieter Abbeel along with several early OpenAI team members, bringing deep expertise in AI and robotics research.
Covariant AI primarily provides an AI software platform that is integrated with robot hardware from partners like ABB to deliver end‑to‑end automation solutions.
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