NEURA Robotics has entered a strategic collaboration with Amazon Web Services to build out the infrastructure and training systems needed to scale so-called Physical AI, with AWS set to serve as NEURA’s primary cloud provider. As part of the agreement, AWS will host NEURA’s Neuraverse platform, which supports robot training, real-time data processing and shared intelligence across fleets. NEURA’s training environment, NEURA Gym, will also integrate with AWS tools such as Amazon SageMaker to help streamline training pipelines that combine real-world sensor data with simulated environments.
The collaboration also extends to commercial and operational areas. NEURA will work through the AWS Partner Network to expand its market reach, while Amazon is expected to explore using NEURA’s robotic systems in selected fulfillment centers. These facilities could serve as testing grounds for robotics in logistics and warehouse operations.
Both companies are targeting a key constraint in robotics development: limited access to large-scale real-world data. Unlike AI models trained on internet data, robots depend heavily on physical-world inputs. The partnership aims to close that gap by linking NEURA’s robotics platform with AWS’s cloud infrastructure to support faster training, testing and deployment.
David Reger, chief executive of NEURA Robotics, said the collaboration is intended to expand the company’s platform globally and provide more opportunities to validate robotic systems in real operating environments. Jason Bennett, vice president at AWS, said the company will provide the infrastructure needed to support NEURA’s scaling efforts and enable data sharing across robot fleets.
NEURA said the agreement is part of a broader network of partners across cloud computing, AI, semiconductors and industrial deployment. The company said partners include Kawasaki, Schaeffler, Bosch and Qualcomm Technologies, and that the broader ecosystem is aimed at supporting the deployment of millions of cognitive robots by 2030.
