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Agit provides synthetic motion data for AI and computer vision, offering 100% privacy-compliant and biomechanically accurate data. It specializes in high-fidelity annotations for fitness AI and digital health applications.
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Agit offers synthetic motion data specifically designed for training superior Computer Vision models, ensuring 100% privacy compliance and biomechanical accuracy. The platform provides high-fidelity annotations crucial for Fitness AI and Digital Health applications. It transforms clean motion into perfect ground-truth labels, including 3D Pose, Depth, and Segmentation maps, supporting various formats like Coco, Mediapipe, SAM 3D, and OpenPose. Agit's motion library is built on professional mocap recordings, covering a wide spectrum of human movements, including perfect form and common postural errors. This approach helps solve data bias, annotation cost, time to market, privacy risks, and human error associated with real-world data collection, enabling faster development and deployment of AI models.
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Paid · Enterprise
Not publicly disclosed. Check agit.fit for current pricing.
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