Neuracore is a robot skill creation platform that helps robotics teams move from demonstrations to deployed policies in one connected workflow. Its tools support the full development loop: collecting teleoperation demonstrations, organizing and versioning manipulation datasets, training policies, and deploying and monitoring them on real robots. Data can be captured from setups such as teleoperation, kinesthetic teaching, VR rigs, and gloves, with signals including video, robot movements, actions, and spoken instructions synchronized for training.

Teams can train imitation learning policies, including ACT, Diffusion Policy, π0, and vision-language-action models, as well as use reinforcement learning in simulation and on hardware. The platform provides tools to compare policy versions, track success rates, identify data quality issues, and investigate failures. Neuracore supports workflows with or without ROS and offers managed cloud, customer VPC, and on-premises deployment options. Datasets and trained policies remain customer-owned and can be exported through its open-source SDK. The platform is designed for robotics product teams, OEMs, full-stack robotics companies, and research labs seeking a shared, reproducible development pipeline.