Asimov

Founded by Lyem Ningthou in 2024

Collect real-world human activity datasets for training robots

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Long Setup (> 1 day)

You can use Asimov to gather real-world human interaction data to train embodied artificial intelligence and robotics models. The service manages the entire data collection process, including distributing recording hardware, capturing egocentric video, and handling quality assurance. Collectors record natural daily tasks like cooking, cleaning, or warehouse work in realistic settings. Asimov then processes the recordings to provide structured datasets with 3D body poses, depth maps, semantic labels, and activity segmentation, giving robotics teams the diverse physical demonstration data needed to improve autonomous manipulation.

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What Asimov does

Request custom real-world training datasets for robotics modelsRecord first-person video using a lightweight head mountAnnotate physical video with 3D body poses and semantic segmentationReview and verify egocentric video quality before model trainingSegment physical human activities into structured demonstration stepsDistribute recording hardware and manage distributed human collectorsExport clean annotated datasets for teleoperation and robot learningEgocentric video capture using lightweight head-mounted phone equipmentEnd-to-end data pipeline managing hardware distribution, collection, and QARich annotations including 3D body pose, depth maps, and semantic labelsReal-world data capture across kitchens, offices, warehouses, and homesLabor sponsorship model covering partner business wages in exchange for task dataPrivacy-first capture protocols filtering out faces, screens, and sensitive information

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

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What does Asimov integrate with?−

Custom API for data export, PyTorch (via data loaders), TensorFlow (via data loaders), Unverified, Custom API for data delivery, AWS S3 / Google Cloud Storage, PyTorch/TensorFlow compatible formats, ROS (Robot Operating System) data structures

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Asimov, robotics data, embodied AI, egocentric video, robot training, 3D body pose, teleoperation, physical intelligence, demonstration data, depth maps, imitation learning, robotics