对话 EgoScale 创始人：能赚钱的 Ego 数据公司不超过五家，我是其中之一
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Merged summary
TL;DR - EgoScale’s founder argues that diverse, structured first-person data—not raw hours—is the key input for general-purpose embodied models. The company claims its automated collection and processing infrastructure enables profitable, training-ready data delivery at scale.
- EgoScale prioritizes varied scenes, tasks, actions, objects, failures, and recovery behaviors over repetitive high-volume datasets.
- Its binocular camera hat captures synchronized video and IMU data for up to 10 hours, with same-day wireless upload and feedback.
- Deliverables include calibration, timestamps, task descriptions, action segmentation, hand poses and trajectories, quality scores, and scene metadata.
- Fewer than 20 employees manage roughly 1,500 rotating collectors monthly, with a claimed 80% valid-data rate through automated collection, annotation, QA, and operations workflows.
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对话 EgoScale 创始人：能赚钱的 Ego 数据公司不超过五家，我是其中之一
Public signals
N/A
TL;DR - EgoScale’s founder argues that diverse, structured first-person data—not raw hours—is the key input for general-purpose embodied models. The company claims its automated collection and processing infrastructure enables profitable, training-ready data delivery at scale.
- EgoScale prioritizes varied scenes, tasks, actions, objects, failures, and recovery behaviors over repetitive high-volume datasets.
- Its binocular camera hat captures synchronized video and IMU data for up to 10 hours, with same-day wireless upload and feedback.
- Deliverables include calibration, timestamps, task descriptions, action segmentation, hand poses and trajectories, quality scores, and scene metadata.
- Fewer than 20 employees manage roughly 1,500 rotating collectors monthly, with a claimed 80% valid-data rate through automated collection, annotation, QA, and operations workflows.