Data Curation for Physical AI
We curate high-quality training data for robotics and world models. Need manipulation data from 5,000 factory workers? Done. Need multi-modal construction footage? We've got it.
Sample efficiency for the world. Our team has deep experience training world models and diffusion models from Bloomberg, Brown, and Waterloo.
Request access to our datasets→01
The Problem
Training world models requires massive amounts of quality data that is difficult to collect and license. Physical AI data is orders of magnitude harder to acquire than web-scale text or video.
Inefficient pipelines drain capital. Noisy data leads to unpredictable robotic behavior. Generic AI approaches fail in physical environments because they lack the structural nuance of reality.
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The Solution
We know good data. Our team stems from the foundational labs of modern physical intelligence. Deep experience training world models and diffusion models, with expertise in generative AI and robotic perception.
Ex-Bloomberg, Brown University, University of Waterloo, and NeurIPS researchers building the future of physical AI data.
$ curl api.batchdim.com/curate -d "type=robotics" connecting............ ok processing frames..... 847,293 quality score......... 0.94 status................ ready
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Current Programs
Global infrastructure with proprietary recording hardware for human-in-the-loop interaction.