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Asimov captures first‑person video of everyday human activities in real environments—kitchens, offices, hotels, warehouses—and converts the footage into clean, annotated datasets with 3D pose, depth, and semantic labels for robot training. It runs an end‑to‑end pipeline, supplying robotics teams with ready‑to‑train data while paying participants and partnering businesses to record their routine tasks, monetizing through dataset sales and revenue‑sharing agreements.
Updated 2 months ago
Funding
Funding not disclosed
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Founders
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Product
Features
- This company collects real-world human activity data from diverse physical environments to create large, annotated datasets for robotics training. They manage the end-to-end pipeline, providing robotics teams with clean data including 3D pose, depth maps, and semantic labels. Asimov enables robots to learn complex physical world interactions by leveraging organic human behavior captured at scale.