For Physical AI Teams & Data Buyers

US egocentric video.
Real environments.
Your protocol.

Bring a task definition. We translate it into a field-ready capture protocol, source the US environments where that work happens naturally, and deliver footage against your own QA criteria.

50+
US Environments
9+
Operating Categories
Pilot
Validate Before Scale
100%
Consent-First
Submit a protocol intake Browse environments

The data gap isn't synthetic quality.
It's real US supply.

Every physical AI team we talk to has the same problem. And it's not the one they expected.

❌ What everyone assumed

We'll just generate synthetic data

Simulation was supposed to solve everything. Unlimited data, zero cost, no consent issues. Except models trained entirely on synthetic environments fall apart the moment they touch the real world — different lighting, clutter, physics nuance, human variability. Sim-to-real transfer is still the wall.

✓ What actually works

Real footage from real environments

The best physical AI results come from models trained on real-world first-person video — actual people doing actual tasks in actual environments. The catch: US footage at scale, with consent, with compliance, in the specific environments you care about, doesn't just exist. You have to build a supply side. That's what FieldMesh is.

Six things every protocol-based program includes.

// 01

Protocol Intake

Define the task once — viewpoint, action sequence, scene conditions, edge cases, and acceptance criteria. We convert it into a repeatable capture protocol and hold it constant across every environment.

// 02

US Environment Access

Reach qualified domestic operating environments: logistics, kitchens, manufacturing, fabrication, warehousing, skilled trades, facility services, packaging/kitting, retail. Real work. Real environments.

// 03

Pilot Sample Packs

A small scoped run produces real footage against your protocol. Inspect viewpoint fidelity, task coverage, and QA fit before committing to scale. You validate before you pay for production volume.

// 04

Buyer-Defined QA

Acceptance is measured against criteria you set — not a generic standard. We structure review around your definitions of usable footage. Rejected footage doesn't bill. Only accepted hours count.

// 05

Structured Delivery

Footage arrives with consistent capture metadata and protocol identifiers, organized for direct ingestion into your training pipeline. No manual sorting. No unlabeled clip dumps.

// 06

Compliance Posture

Consent-first programs, PII review planned in, NDA/MSA-ready engagements. We can't claim blanket legal compliance — we're honest about that — but controls are scoped per protocol and built in from day one.

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, so footage stays comparable as a program scales.

capture-protocol.fieldmesh
protocol_id
"fm-egocentric-001"
viewpoint
"head-mounted / first-person"
task
← your task definition goes here
environments
["logistics", "kitchen", "fabrication", "warehouse", ...]
scene_conditions
protocol-defined (lighting, clutter, motion, objects)
acceptance
← your QA criteria
consent
"voluntary, confirmed pre-capture"
pii_review
"planned · scoped in pilot"
engagement
"pilot-first · NDA/MSA-ready"

Where real work happens.

Nine operating categories. 50+ qualified US sites. Footage from environments where the task is genuine, repeatable, and happening every day — not staged for a camera.

Logistics & Warehousing

Picking, packing, sorting, receiving, stocking, tote handling, trailer unloading

Food Production & Prep

Kitchen operations, food prep, line cooking, portioning, packaging

Manufacturing & Assembly

Production lines, component assembly, quality inspection, machine tending

Machining & Fabrication

CNC operation, welding, machining, precision fabrication, tool use

Skilled Trades

Electrical, plumbing, HVAC installation, carpentry, construction tasks

Facility Services

Cleaning, maintenance, environmental services, cart transport, supply runs

Packaging & Kitting

Fulfillment center kitting, labeling, bundling, order assembly

Retail & Counter Service

Stocking shelves, fronting, counter prep, customer-facing tasks

Office & Admin Operations

Mail handling, document scanning, filing, printing, supply room tasks

Most data alternatives fail one of these.

Generic Data Platforms
FieldMesh Data
Geographic sourcing
Majority Asia/India
United States only
Task authenticity
Staged reenactments
Real tasks, real environments
Protocol control
Generic clip catalogs
Buyer-defined, locked per run
QA
Platform standard
Your acceptance criteria
Consent & compliance
Crowdwork ToS assumptions
Voluntary, site-confirmed, PII reviewed
Entry model
Commit, then see what you get
Pilot first, scale on proof
Environment diversity
Variable
9+ US categories, 50+ sites

From protocol to production in five steps.

01 / Intake

Submit Protocol Intake

Define your task, viewpoint, scene requirements, and QA criteria. We review in 48 hours.

02 / Match

Environment Matching

We identify US environments where your task is authentic and confirm site participation.

03 / Pilot

Pilot Sample Pack

Small scoped run. Real footage against your protocol. You evaluate before committing.

04 / QA

Review & Refine

Footage reviewed against your acceptance criteria. Adjust protocol if needed. Only accepted hours bill.

05 / Scale

Production Program

Validated protocol scales across additional qualified environments. Recurring, structured delivery.

Ready to source real US data?

Tell us what your model needs to see.

Submit a protocol intake and we'll scope a pilot against real US operating environments within 48 hours.

Request pilot scope Browse environments first

Or reach us directly: partners@fieldmeshdata.com · (727) 565-4008