US field data infrastructure

US field data infrastructure
for physical AI.

FieldMesh Data connects physical AI, robotics, and VLA teams with real US operating environments for buyer-defined first-person video data collection — under protocol-driven, consent-first programs scoped pilot-first.

Field network in development Pilot scoping open NDA / MSA ready
Two sides of one network

A mesh between data buyers and real operating environments.

Frontier models for the physical world need footage from the physical world. FieldMesh Data builds the connective layer — matching buyer-defined capture protocols to qualified US environments where work actually happens.

01 · Demand side

AI teams & data buyers

US egocentric video supply for physical AI teams. Bring a task definition; we translate it into a field-ready capture protocol and source the environments to run it.

  • Buyer-defined first-person / egocentric task footage
  • Protocol intake and pilot sample packs
  • Buyer-defined QA and acceptance criteria
Explore the buyer protocol
02 · Supply side

Businesses & operators

Turn real-world operations into structured AI training data. Approved sites host voluntary, protocol-based capture programs designed for minimal disruption to daily work.

  • New revenue from approved data collection programs
  • Voluntary worker participation, program-specific rates
  • Site participation confirmed before any capture
See how participation works
The network layer

Capture protocols, routed to qualified environments.

Each node in the mesh is a reviewed operating environment — a warehouse aisle, a working kitchen, a maintenance route. A buyer protocol defines the task, the viewpoint, and the acceptance criteria; FieldMesh routes it to environments where that work is genuine and repeatable.

  • Capture modalityFirst-person / egocentric video
  • Coverage regionUnited States
  • Engagement modelPilot-first, protocol-defined
  • Data governanceConsent-first, PII review planned
9+
Operating categories in the catalog
1P
First-person / egocentric capture focus
US
Operating environments, domestic coverage
100%
Consent-first, voluntary participation
How the mesh runs

From protocol to accepted footage.

A pilot-first workflow designed so buyers validate quality early and environments understand exactly what participation involves.

01

Protocol intake

Buyers submit a task definition — viewpoint, actions, scene conditions, and acceptance criteria. We shape it into a field-ready capture protocol.

02

Environment matching

We identify qualified US environments where the task is authentic, and confirm site participation and worker volunteers before any capture begins.

03

Pilot sample pack

A small, scoped capture run produces a sample pack against the protocol — so buyers evaluate real footage and QA fit before scaling.

04

Buyer-defined QA

Footage is reviewed against the buyer's acceptance criteria. PII review is planned into the workflow and refined during pilot scoping.

05

Program scale-up

Validated protocols expand across additional qualified environments under NDA / MSA-ready agreements, with structured delivery and ongoing QA.

Trust posture

Designed to support responsible field data collection.

// consent

Consent-first by design

Worker participation is voluntary, and site participation is confirmed before capture. Programs are built to support informed consent.

// privacy

PII review, planned in

Personal-information review is planned into the capture and delivery workflow and reviewed during pilot scoping for each protocol.

// agreements

NDA / MSA ready

Engagements are structured to operate under NDA and master service agreements, with protocol-defined scope on both sides.

FieldMesh Data is in active field-network development. Descriptions above reflect how programs are designed to operate; specifics are protocol-defined and reviewed during pilot scoping. We do not claim blanket legal compliance — controls are tailored to each engagement.

Start a conversation

Request a pilot scope, or check your site fit.

Whether you're sourcing US egocentric data or operating an environment that could participate, the first step is a scoped conversation.