Project Registry
Each project runs independently with its own scope, unit of production, contributor criteria, and compensation structure. Client identities may be confidential — codenames are used in all contributor-facing materials.
Home environment data collection. Egocentric video of household chores and indoor manipulation — cleaning, cooking, object handling, domestic routines in real home settings.
3D scene capture for world model training. Orbital iPhone video of real-world environments — streets, markets, transit, parks, interiors. Two-pass capture protocol with gimbal. Static scenes, 60–90 sec per scene.
Premium egocentric data collection using a professional head-mounted rig. Operator-collectors deploy a Luxonis OAK-D Pro W stereo depth + RGB + IMU camera on a head-mount harness and perform natural, task-based activities across real-world environments. Global applications open.
Nexscient Labs's proprietary training dataset. Mixed-environment egocentric collection — home chores and indoor tasks alongside outdoor and real-world activity. Broad scene coverage.
Nova is a premium egocentric video collection program for professional rig operator-collectors. The phone-based qualification specification does not apply — Nova uses a dedicated head-mounted hardware rig. Global applications are open. Qualification is assessed via a structured onboarding interview and equipment verification process.
Gaia uses an orbital 3D scene capture protocol — not head-mounted egocentric recording. Contributors use an iPhone (14 or newer) on a gimbal to record two-pass orbits around static real-world scenes. The qualification pathway will be published when the project scope is confirmed.
Applicants for Vega and Auriga submit a link to a short qualification clip. Automatically checked for technical criteria, then human-reviewed for mount, hands, and content. Personal details collected only after this step passes.
Auto checks: resolution · fps · orientation. Human review: mount · hands · object movement. One retry on fail.