Third Origin · Human workflow data

Train models on shopfloor reality.

Access the most exhaustive source of ready-labelled, end-to-end multimodal workflow data from diverse real-world manufacturing environments.

  • Direct access to 200k+ manufacturers across industries
  • Extensive ready‑labelled ego‑exo workflow data
  • Custom data collection & tailored labelling based on your needs

Thirty task specimens · ego + exo · RGB–D · UMI bimanual · instrumented gloves · annotation demo · library map

09 electronics bench · calibrating a camera module

01 · Platform

Real-world workflow data for physical AI.

Third Origin provides structured, training-ready workflow data from real manufacturing environments. Models trained on it see long-horizon tasks the way workers actually do them, decision points included.

Real factory environments

Captured on live production lines, not in synthetic or staged setups.

End-to-end workflow coverage

Multi-step tasks with their transitions and decision points, not isolated pick-and-place.

Training-ready structure

Labeled, formatted, ready to load. Raw video alone does not train anything.

Model impact

Policies train on the mess they will actually meet, which shrinks the sim-to-real gap and holds up over long horizons.

02 · Task specimens

Task specimens.

Thirty tasks from working factories across a dozen sectors. Each note says what makes the task hard for a robot to learn.

01 glass works

Wrapping glassware for the box

Corrugated sleeves over fragile stock; grip force gets no second try.

02 appliance line

Fitting parts on an appliance line

Small device, moving belt, both hands busy at once.

03 assembly bench

Marking rings at the bench

Identical parts, tiny registration marks, zero tolerance for drift.

04 industrial qc

Counting impellers against the sheet

Count, check, log: perception and bookkeeping in one loop.

05 garment line

Trimming threads on knitwear

Snips against soft knit; one wrong cut shows forever.

06 knitting line

Feeding the knitting machine

Yarn tension by feel, machine timing by ear.

07 packaging line

Folding cartons for pouches

Flat blank to box in seconds, creases from muscle memory.

08 ceramics works

Finishing ceramic ware

Unfired clay marks at a touch; pressure is the whole skill.

09 electronics bench

Calibrating a camera module

Checkerboard, module, micro-adjust: sub-millimetre alignment, on camera.

10 pleating bench

Pleating fabric with a blade

A straightedge, a knife, and folds that must repeat exactly.

11 moulding bench

Filling a moulded tray

Each cavity takes one part, seated flush or not at all.

12 assembly line

Seating strip into extrusion

Long flexible part, narrow channel, continuous press-fit.

13 lampshade bench

Folding a pleated shade

Accordion folds that collapse if the order is wrong.

14 wax works

Banding wax blocks

Rubber bands around soft blocks: deformation on every grip.

15 garment line

Folding menswear to spec

The same fold every time; the pile is the QC.

16 leather works

Skiving leather at the bench

Blade angle by feel; one pass decides the edge.

17 garment line

Threading cords through hoods

A drawstring through a channel, blind for most of the run.

18 electronics bench

Testing a handheld unit

Cluttered bench, live device, probe and screen in parallel.

19 footwear line

Pressing shoe insoles

Layered soft parts aligned by hand before the press.

20 stainless works

Deburring under the machine

Gloved work under a running head; force where the camera can't see.

21 upholstery bench

Fitting a leather panel

Pry, stretch, seat: a stiff panel into a tight housing.

22 lockworks

Sorting padlock parts

A bowl of near-identical brass parts, picked by touch.

23 appliance assembly

Wiring appliance lids

A harness routed through housings, connectors seated blind.

24 cleanroom lab

Pipetting in the cleanroom

Gloved pipette work into microtubes; contamination is failure.

25 metal shop

Forming sheet metal

Rivets and sheet stock: high force, exact placement.

26 glass works

Bubble-wrapping washed glass

Wet, clear, slippery, and invisible to depth sensors.

27 packing floor

Strapping a bundle

Tension a strap around a soft bundle without crushing it.

28 footwear line

Bonding sole to upper

Machine-paced stitching where two curved parts meet.

29 print shop

Collating and cutting pages

Ruler-true cuts on stacks that shift as they square.

30 garment line

Attaching buttons and zips

A press machine, a placement mark, and no undo.

Episode metadata & formats →

03 · What ships

Workflow Intelligence Layer.

The data foundation for physical AI: real tasks and real decisions, captured at scale.

Real-world task diversity

5,000+ real manufacturing tasks, with the natural variation and edge cases that make generalization possible.

Hierarchical action understanding

Data includes atomic actions and high-level human commentary, so one dataset teaches low-level control and task-level reasoning.

Multi-modal interaction data

Synchronized ego + exo video, tactile, and contact signals for learning grounded physical interaction and fine-grained manipulation.

Training-ready format

Ships as structured datasets with temporal alignment and segmentation, ready to drop into a training pipeline.

04 · Reach

Built on real manufacturing environments.

200,000+Manufacturers accessible
310+Manufacturers accessed
100+Distinct workflows captured
100,000+Hours of ready-labelled data

We work with factories that let us put cameras directly on the line: garments, cosmetics, packaging, electronics, mining, industrial tooling. Each sector brings its own tools, its own materials, and its own ways of going wrong.

05 · Diversity

Every point leads back to a specimen.

Explore 900 captioned windows from the same 30 hand-selected tasks shown in the carousel and specimen catalog. Search for a manipulation, inspect the cluster, then open the published clip that produced it.

0 / 900 moments · 30 source specimens

t-SNE projection of four-second window captions. Axes carry no units; nearby points describe similar work.

06 · Annotation · 190 steps · 21-point hands

Annotation, running live.

A two-minute ironing line with every step labelled and per-frame hand keypoints. Step boundaries come from the hand kinematics, not the model; the curve on the timeline is the motion signal itself.

00:00.00
space play · ← → 5 s · K keypoints · click a band or row to jump

Annotation timeline

0s10s20s30s40s50s60s70s80s90s100s110s120s

All five workflows, with the step table →

07 · Why us

Why Third Origin?

One team from spec to delivery

Define the spec with us, see early captures, and adjust before the full collection runs.

Built with robotics labs

Robotics and world-model teams shape what we capture, so the data answers training questions, not filming ones.

Real-world workflow data

Captured directly from live manufacturing environments: real tools, materials, constraints, and edge cases.

Workflow-driven data design

Task structures, action hierarchies, and annotations defined with partners, aligned to model training objectives.

Validated before it ships

Every modality passes multi-stage QA before delivery. If a stream is unusable, you never see it.

Secure and compliant data handling

Every dataset is rights-cleared and auditable, and we adapt handling to your compliance requirements.

08 · Products

Train models that work in the real world.

Third Origin begins where digital records end.

Workflow data that teaches models whole jobs, not isolated actions.