First-party human demonstration data
Egocentric Data for Physical AI. License first-party household and workplace video for robotics, or commission synchronized ego/exo collection to your specification.
Pause
Fine Tool Use and Object Transformation Dual-tool sequence · Fine motor control · Visible state change
Rights-approved public excerpt
Two Ways to Start. Use current inventory when it fits. Commission only the tasks, views, and environments your model is missing.
License Existing Data. Review first-party household and workplace footage against your task, viewpoint, rights, and delivery requirements.
Compare Existing vs. Custom ↗ Collect the Missing Behaviors. Turn the model objective into a scoped pilot with defined contributors, capture, acceptance criteria, rights, and delivery.
Task Behavior, setting, and contributor criteria
Capture Ego, exo, synchronized views, and sensors
Acceptance Quality, rights, schema, and loader fit How Custom Collection Works ↗ Inspect Real Data Before You Buy. Compare household POV, workplace multi-view, and dual-wrist capture using privacy-reviewed public evidence.
Dual-Wrist Ego + Exo Household POV Workplace Multi-View
EXO WORKSPACE CROP Both Wrists Close to the Work. Two wrist views preserve near-field manipulation while frontal and cropped workspace exo views retain context from the same work event.
Ego right-wrist ego, left-wrist ego
Exo frontal, wide whole-body
Alignment Visually aligned within an estimated 500 ms tolerance; not calibration-grade sensor fusion
Privacy review 360 frames Real Tasks in Real Homes. Three reviewed phases from one maintenance recording: release a guarded component, clean the detached blade assembly, and align the guard for reassembly.
View Actor-aligned POV
Signal Bimanual maintenance and reassembly
Public excerpt 15 seconds at 24 FPS
Rights Separate buyer license Actor Detail With Wider Context. One actor-aligned POV stream is paired with frontal, side, and whole-body external views of the same work event.
Ego actor POV
Exo frontal, side, whole-body
Alignment Manually aligned within an observed 200 ms tolerance
Privacy review 360 frames View All Sample Data ↗ Specify Define the task, contributor, environment, viewpoint, signals, and success criteria.
Pilot Test capture quality, coverage, privacy, timing, and technical fit before scale.
Prepare Segment, align, annotate, review, and preserve provenance around the learning signal.
Deliver Ship the schema, rights, QA records, checksums, loader, and ingest result.
800K+ contributors in the GIG Rewards network
Philippines + South Africa Network relationships include Smart Communications, Vodacom, and MTN.
Markets 2
Telco networks 7 Network reach supports sourcing. It is not automatic project capacity. Eligibility, consent, timing, and rights are confirmed in the written scope.
10xme Technology Inc. operates both EGXO Data and GIG Rewards, connecting collection, data operations, and contracting.
Consent and eligibility Connect approved assets to the contributor, environment, notice, consent, and release requirements.
Provenance and versioning Trace source assets, protocols, transformations, checks, reviewers, and release versions.
Permitted use and transfer Define training, derived-model, retention, redistribution, security, and deletion requirements in writing.
Start With the Brief. Tell us what the model must learn. We will identify whether current inventory fits or define the collection required.
Scope Custom Collection