US egocentric video supply for physical AI teams.
Bring a task definition. We translate it into a field-ready capture protocol and source the real US operating environments to run it — validated pilot-first, delivered against your own QA.
Protocol intake
Define the task once — viewpoint, action sequence, scene conditions, edge cases, and acceptance criteria. We convert it into a repeatable field capture protocol.
US environment access
Reach qualified domestic operating environments across logistics, kitchens, industrial production, machining/fabrication, packaging/kitting, print/sign, facilities, office/admin, and retail/service.
Pilot sample packs
A small scoped run produces real footage against your protocol, so you assess fit, viewpoint fidelity, and QA before committing to scale.
Buyer-defined QA
Acceptance is measured against criteria you set. We structure review around your definitions of usable footage — not a generic standard.
Structured delivery
Footage is delivered with consistent capture metadata and protocol identifiers, organized for ingestion into your training pipeline.
Compliance posture
Consent-first programs with PII review planned in and refined during pilot scoping. NDA / MSA-ready engagements, protocol-defined on both sides.
A capture protocol is the contract for what good footage means.
Rather than buying generic clips, you define the task envelope. FieldMesh holds that definition constant across every environment in the mesh, so footage stays comparable as a program scales.
- ViewpointFirst-person / egocentric
- Task definitionBuyer-supplied
- Scene conditionsProtocol-defined
- Acceptance criteriaBuyer-defined QA
- PII handlingReviewed in pilot scoping
- DeliveryMetadata-tagged sets
Built for teams training models that act in the physical world.
Real tasks, not staged demos
Footage comes from environments where the work is genuine and repeated — the difference between a model that has seen a task and one that has only seen a reenactment of it.
Consistency across the mesh
One protocol governs capture across many environments, so a dataset stays comparable as it scales from a single pilot site to a multi-environment program.
Validate before you scale
The pilot sample pack lets your team inspect real output against the protocol and your QA criteria before any larger commitment is made.
Trust-aware by construction
Consent-first participation, planned PII review, and NDA / MSA-ready structure are part of the engagement design — not an afterthought bolted on at delivery.
Tell us what your model needs to see.
Submit a protocol intake and we'll scope a pilot against real US operating environments.