EgoFormosa

For frontier AI labs & data aggregators

The real work behindembodied intelligence.

Expert, first-person factory data — the dexterous work you can't scrape, crowdsource, or simulate.

Captured on the floors that build for brands you know by name — redacted, because every relationship is under NDA.

Under NDA
Global EV automaker
Tier-1 electronics OEM
Top-3 smartphone brand
Fortune-100 appliances
Global food & beverage
Aerospace components
Precision medical devices
Industrial robotics OEM
AutomotiveElectronicsSemiconductorAgricultureFood & BeverageLogistics & WarehousingTextile & ApparelPrecision MachiningWholesale & RetailAutomotiveElectronicsSemiconductorAgricultureFood & BeverageLogistics & WarehousingTextile & ApparelPrecision MachiningWholesale & Retail
01Why our data wins

Three bad options.
Then there's ours.

Everyone training robots is stuck choosing crowdsourced chores, lab teleoperation, or simulation — each one trades away skill, realism, or scale. We license the fourth.

Fig 0.1

Crowdsourced video

Who does the work
Amateurs, staged
Where it happens
Homes
Dexterity & contact
Low
Can a rival copy it?
Yes — hire crowds

Fig 0.2

Lab teleoperation

Who does the work
Operators on rigs
Where it happens
Labs
Dexterity & contact
High but narrow
Can a rival copy it?
Yes — at $100M+

Fig 0.3

Simulation

Who does the work
No humans
Where it happens
Synthetic
Dexterity & contact
Sim-to-real gap
Can a rival copy it?
Yes — anyone

Fig 0.4

EgoFormosa

Who does the work
Domain experts
Where it happens
Real OEM floors
Dexterity & contact
High & real
Can a rival copy it?
No — factory moat
02From floor to training run

One pipeline,
consented end to end.

  1. 01

    Capture

    First-person rigs ride real operators through ordinary shifts — real tasks, real pace, real recovery.

  2. 02

    De-identify

    Faces, identities, and trade-secret surfaces are scrubbed on-premise before anything leaves the floor.

  3. 03

    Annotate

    Every clip is segmented into atomic actions, paired with language, and graded into a typed schema.

  4. 04

    Deliver

    License-clean, provenance-tagged datasets — sliced by sector, task, region, or modality.

First-person Automotive capture
AutomotiveEGO-01
rec

Captured on the line

first-person · 30 fps · synced
RGBDepth3D hand poseForce / contactAudio
03Industries

Every industry, one viewpoint.

From the assembly line to the greenhouse — the same first-person frame, across the breadth of real-world work. Every tile is a live capture, rolling.

First-person Automotive capture
live
AutomotiveEGO-01
First-person Electronics capture
live
ElectronicsEGO-02
First-person Agriculture capture
live
AgricultureEGO-03
First-person Food & Beverage capture
live
Food & BeverageEGO-04
First-person Logistics capture
live
LogisticsEGO-05
First-person Textile & Apparel capture
live
Textile & ApparelEGO-06
04Provenance & rights

Clean enough to train on.
And to defend.

Scraped web video and gig-worker clips carry consent and PII liability — and you inherit it the moment you train on them. Every EgoFormosa dataset ships rights-clean, consented, and exclusive.

Documented chain of custody

1

Worker consent

Written, revocable, per-worker consent before any frame.

2

On-prem de-ID

Faces, identities, and trade-secret surfaces scrubbed on-premise before export.

3

Partner sign-off

Partner-approved redaction of proprietary processes.

4

Rights-clean license

Exclusive, documented chain-of-consent. GDPR-, PDPA-, and CCPA-aligned.

Now onboarding data partners

Get your models into the real world.

Tell us the sectors, tasks, and modalities you need. We'll scope a dataset and send a sample.