Sawtooth Industries
Physical Data Intelligence

The real world, captured and structured.

A global workforce that records how work really gets done and how products really sit on the shelf, then hands it over ready to use. Two data lines, one operation.

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CAPTURE 01 · MANIPULATION
Robotic training datahand & depth tracking
CAPTURE 02 · SHELF SCAN
Merchandise dataplanogram & price
Data line 01 Powered by Fizzion AI

Robotic Training Data

Your model learns a physical skill the way a person does, by watching it done. We put trained people on real floors and in real homes and capture the demonstration with the sensors your pipeline needs.

  • First-person video with a written caption for every step
  • Both hands tracked in 2D, then placed in 3D world coordinates
  • LiDAR depth under every frame, distance labeled per hand
  • Teleoperation episodes with multi-camera views and a success score
21 pts
per hand, both hands
RLDS
HDF5, COCO, your schema
QC
labeled and checked clip by clip
HAND POSE · DEPTH · 3D WORLD
Egocentric assembly. Step captions are part of the data.
Hand tracking. 2D overlay plus the same hands in 3D.
LiDAR depth, distance labeled per hand.
Teleoperation, arm. Three views, task prompt, success score.
Teleoperation, dexterous hand. Same format, different robot.

Stereo egocentric

Two cameras, so depth is something you compute. Samples with metadata on request.

Full view

Wider capture of a space or task, for models that need the whole scene.

Expert labor

Skilled trades on camera, welding and machining, when generic demonstrations will not do.

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Data line 02 Powered by DataPure

Merchandise Data

You bought the end cap. Someone should check it exists. A person walks the store with a phone and scans the shelf, and you get back a score against the standards you agreed with the retailer and the brand.

  • Shelf scan scored against your planogram, facing by facing
  • Where your product sits, and how close the competition is
  • Photos of products and shelf prices, yours and theirs
  • Receipts from willing shoppers, so you see what sells next door
  • brands launching a product
  • franchise owners
  • grocers
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PLANOGRAM SCAN · LIVE
  • ✓Facings match the plan
  • !Product present on the end cap
  • ✓Signage is up
  • !Shelf price matches the file
  • ✓Not next to a competitor
5 of 7 standards metillustration, not customer data

How a project runs

  1. You send the spec

    Task, place, hours, device, format. A sentence starts it. You get a plan and a quote back.

  2. We run a pilot

    A small batch first, so you check it against your own rules before anything scales.

  3. We collect

    People on the ground capture it. The annotation team labels it.

  4. You get the data

    In the format your pipeline reads, or as a store report your team can act on.

Know someone who needs data?

Send them here, or send us the brief. You make the intro, we run the conversation and the collection.

Data type
Where
Book a call instead

Paste it into an email to:

tim@fizzion.ai

Tell us the task. We tell you if we can collect it.

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