AI for physical operations

The world's largest brands use OneTrack to make their warehouses, factories and fields safer and more productive.

Trusted by leading logistics and manufacturing companies

Kellanova
Church & Dwight
Hain Celestial
CJ Logistics
ID Logistics
Ryder
The Wonderful Company
Bigelow Tea
Holman Logistics

Built for the warehouse and factory floor

Forklifts and operators working a warehouse dockWarehouses
A snack production line in a factoryFactories
Distribution center dock doors and trailers at duskDocks and yards

The connective tissue of the physical enterprise

Your systems record what should have happened. OneTrack sees what actually did, and turns the gap into action.

What clients see

A OneTrack sensor mounted on a forklift's overhead guard, in a racked aisle

A sensor on every lift

Cameras, motion and impact sensing on each forklift. Iris-1, our world model, understands what they see.

Iris-1

Our first world model for industrial operations.

Trained on one of the largest data sets of real-world operational data: hand-curated, selected, anonymized and cleaned.

CJ Logistics runs OneTrack agentic AI across 40+ warehouses

45%less gap time
18%more units per hour
40+warehouses, one standard

“The sites that ask three, four, five, six prompts deep are the top performing sites in our network.”

Brad NufferCOO, CJ Logistics America
Read the CJ Logistics case study

Every site. Every event.

Iris-1

Where the risk sits

Every event is a dot. Gather them by what Iris-1 found, or by shift, machine, process or person. The higher a group floats, the more risk per event.

All sites · Hit racking

Hit racking almost always comes with reversing, and mostly on stand-up trucks.

Iris-1 descriptions
Overhead still: a stand-up forklift backing toward a rack
2nd shift

The most risk per event of any shift: more lift-to-lift contact, more pedestrians nearby.

Iris-1Shift schedule
Stand-up trucks

Most rack strikes happen on stand-up trucks, while reversing.

Iris-1Fleet list
Overhead still: a rack strike
Loading

Jolts cluster at the dock: crossing dock plates with the load raised.

Iris-1WMS tasks
Overhead still: a lift crossing a floor joint
Operator

times the network's risk per event. On the supervisor's coaching list, clips attached.

Iris-1Time clockCoaching list sent
Overhead still: a collision

AiOn: one agent for your whole network

AiOn reads every site's systems, checks the floor through the sensors, and acts where the work happens.

When AiOn and Iris-1 work together

  1. 01Units per hour drop at a siteWMS
  2. 02AiOn finds where the time wentWMS + time clock
  3. 03Iris-1 pulls the clips from the floorOneTrack sensors
  4. 04Each supervisor gets a coaching list, clips attachedEmail, Teams, floor TV
Meet AiOn, Persistent Intelligence™
AiOn network briefAll sites
Dallas DC · Dock 7

Client says order 4492 arrived a pallet short. The load video shows pallet 18 on the trailer at 1:34 pm.

WMS orderLoad videoEvidence sent to client
Columbus · Aisle 14

Forklift-to-forklift collision on second shift. One operator was not certified on that truck.

Impact sensorTraining recordsRouted to safety
Forklift-to-forklift collision caught by the forklift camera
Reno · Network view

Gap time is 22% above the network average. Most of it is idle time between picks in zone A.

Time clockWMS tasksVideoCoaching list sent
Latest releases
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Bring us your hardest problem.

We'll solve it together, on your data.

Book a demo Live in weeks · SOC 2 Type II · No facial recognition