Neuracore, a startup building cloud infrastructure for robot learning, announced that it is opening access to its platform to the academic community. The company aims to address one of robotics research’s most persistent challenges: collecting, managing, and utilizing high-fidelity multimodal sensor data at scale.
The platform allows research teams to capture every robot sensor at its native rate, store and visualize data without compression or loss, and train and deploy models locally using Neuracore’s open-source software tools. The company said the system was designed specifically for large-scale robot learning and is now being offered free of charge to academic users.
Initial access is being rolled out to select universities, but any researcher with an academic email address can sign up. Institutions not included in the first wave may join a waitlist for upcoming availability.
Neuracore said it envisions the platform becoming a hub for global research collaboration in robot learning, enabling engineers and scientists to share insights, datasets, and approaches across institutions. The initiative follows the company’s recent $3 million pre-seed funding round led by Earlybird Venture Capital, which is helping accelerate development and expand outreach.
The company’s long-term ambition is to establish Neuracore as the primary environment for advanced robot learning algorithms and real-world robotics experimentation as the field moves toward what it describes as the next era of Physical AI.
