As robotics and embodied AI continue to advance, AI models need realistic data that reflects how people interact with objects and complete tasks in real-world environments. Egocentric video data provides this perspective by capturing activities from a first-person point of view.
Graveiens AI offers managed egocentric video data collection services designed for robotics, VLA models, imitation learning, and other AI applications. Its collection programs capture real-world activities across environments such as kitchens, warehouses, workshops, farms, manufacturing facilities, and retail stores.
The company uses different capture technologies depending on project requirements, including head-mounted smartphone rigs, action cameras, depth cameras, smart glasses, tactile gloves, and custom rigs. This allows organizations to collect data ranging from standard RGB video to depth, hand-pose, and contact-rich signals.
A key feature of Graveiens AI's approach is its focus on consent and quality. Participants provide explicit AI-training consent, while collected footage goes through metadata tagging and a multi-stage quality assurance process before delivery.
For companies developing robot learning, computer vision, VLA models, manipulation systems, and embodied AI, high-quality first-person data can provide valuable insight into human actions, hand-object interactions, and real-world task sequences.
With its managed collection pipeline and real-world data environments, Graveiens AI helps organizations build diverse, structured, and model-ready egocentric video datasets for next-generation AI systems.
https://www.graveiensai.com ...
