Sawtooth Industries
Physical Data Intelligence

Know what's really happening out there.

Your shelves across a thousand stores, or your robot learning a new task. We put trained people on the ground, check the work, and hand your team clean data you can act on. No guessing, no black box.

Tell us what you need Book a call
In the field

Real people, in real stores.

Your shoppers, your shelves, your products. We put trained people on the ground, then hand your team what they saw as data you can act on.

For brands on the shelf Powered by DataPure

Is your shelf set up the way you paid for?

You bought the end cap. You should know it is actually there. Someone walks your stores with a phone, scans the shelf, and you get back a score against the standards you set with the retailer, store by store.

  • You see your facings scored against your planogram, store by store
  • You get photos of your product, your prices, and the competition, straight from the aisle
  • You catch a launch that did not land while you can still fix it
  • brands launching a product
  • franchise owners
  • grocers
Book a store-check call
One person, one phone, scanning the shelf in a live store.
From grocers to boutiques, the same capture.
Phone scanning a cereal shelf, reading planogram compliance and facings
Planogram compliance and facings, per product
Shelf with a product's brand, size, price and promo pulled out
Price and promo, read off the shelf
Almond milk carton with full structured product attributes
Full product attributes, structured
Grocery shelf with missing and misplaced items flagged
Missing and misplaced items, flagged
Apparel table with a display-standard issue flagged
Display standards, checked
Person capturing a restaurant table
Not just retail: restaurants too
What good looks like

This is a shelf done right.

A shopper who finds what they came for, at the price they expected, in a store set up the way you planned. That is what all this data is for.

A good aisle, working as intended.
For robotics teams Powered by Fizzion AI

Get your robot the reps it needs.

Your robot needs hours on real tasks before it can run them alone. You get trained operators driving it in live sites, covering whatever it cannot do yet, and every shift turns into data that moves it toward autonomy.

  • Your robot runs real work from week one, on whichever brand you deploy
  • Your team gets live-site episodes with multi-camera views and a success score
  • You get each shift back as training data, in the format your pipeline reads
  • Your model needs less help over time, because every episode is labeled and checked
RLDS
HDF5, COCO, your schema
multi-cam
views + success score
QC
checked clip by clip
Teleoperation. A dexterous three-fingered hand, scored.
Also two-finger grippers, same pipeline.

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.

Tell us what you're after.

Describe what you are trying to solve or collect, and Tim will get back to you.

Book a call instead