The cost of a stopped line at a large automotive plant. Failures cascade through dependencies nobody has mapped.
The living model of the plant
Know what stopped, why, and what it costs. While it happens.
NeuroPath builds a living model of every machine, robot, forklift and controller in the plant, and what depends on what. Plants use it to cut downtime, change equipment safely and keep the knowledge their best people carry.
45 claimsPatent pending across two filed U.S. applications
AtlantaBuilt in Atlanta, Georgia, for plants, utilities and the defense industrial base
What is at stake
Every plant runs on knowledge that lives in people’s heads. Those people are retiring.
Lost to unplanned stops at a typical large plant, every month, before anyone has mapped why.
What a large vehicle plant gets back each year from fewer stops, smarter maintenance, lower energy and old systems retired safely.
Sources: Siemens, True Cost of Downtime 2024. Value is a NeuroPath estimate for a large vehicle plant of about $8B output a year.
The digital twin
See the whole floor. Then run it forward.
Robots, forklifts, humanoids, conveyors and the people between them, on one living model. When something stops, the twin shows what it takes down with it and what each minute costs. Before anything changes, the change runs in the twin first.
01 · WHAT STOPPED
A stop, priced the moment it happens
The station that stopped, the stations behind it, and the cost per hour at that line’s own rate.
02 · WHAT DEPENDS ON WHAT
Every dependency, found and named
Machines, robots and controllers, including older equipment no drawing shows, kept current as the plant changes.
03 · WHAT COMES NEXT
Changes rehearsed before they run
A new robot, a resequenced line, a standby server: tried in the twin first, so the plant learns nothing by trial and error.
Twin footage rendered by NeuroPath from a staged plant. Equipment and values are illustrative.
Why NeuroPath is different
Plants buy six kinds of tools. Each one covers a slice.
| What plants buy today | What it covers | Where it stops |
|---|---|---|
| OT security monitoring | Device lists and threat alerts | Knows what is connected, not how the line runs |
| Data and context platforms | Pipelines and a hand-built data model | Someone has to map every source by hand |
| Graph and AI platforms | Knowledge graphs and AI apps | Built in workshops, expensive, and slow to keep current |
| Machine analytics | Machine status and downtime | Counts time lost, not what it costs or why |
| Simulation software | What-if line models | Hand-built from design files that no longer match the floor |
| Systems integrators | A custom build connecting the rest | It is the project, and it has to be paid for again every year |
| NeuroPath | The whole picture, from one appliance | Builds itself and stays current as the plant changes |
Buy all six and the plant still has no living model of how it runs.
- Nobody maps it for you. NeuroPath builds the model itself, including equipment no tool was built for.
- Nobody keeps it current. The model changes when the plant changes, not when a consultant returns.
- Nobody connects it to money. Every stop and every change is priced at the plant’s own rates.
What a plant gets
Less downtime. Safer change. Knowledge that stays.
Fix the expensive stop first
See which machine stopped, what stopped with it and what it costs, so crews go straight to the problem. Root cause in hours, not days.
Upgrade without an outage
Before a migration, a controller swap or a new robot, see everything that depends on the equipment being touched, and rehearse the cutover in the twin.
Keep what the experts know
How the plant really runs, held in a living record that does not retire with the people who built it.
Responsible by design
Industrial AI that keeps people in control.
People stay in control
NeuroPath shows what is happening and why. Operators and engineers decide what to do.
Augment, not replace
The value of industrial AI is not fewer people. It is people who can see and act on more of the operation.
On premise and sovereign
Runs on hardware inside the plant and works air-gapped. The plant’s brain and its IP never leave. What runs in the cloud is the plant’s choice.
Evidence, not a black box
Every finding comes with the evidence behind it, so a person can check it before acting on it.
The most responsible place for industrial AI is on premise, under human control, on the plant that people already run.
How to start
The Operations MRI. One line, one answer.
Install
One appliance goes into the plant network. Nothing on the line is touched and production never stops.
Observe
NeuroPath builds the living model of one production line while it runs: every machine, every dependency, every stop.
Act
A written report: what stopped, why, and what it cost, the dependencies that put the line at risk, and the changes worth making first.
Fixed scope and a fixed fee, agreed before work begins. When it proves out, the line becomes a site subscription, and each site leads to the next.
Start an Operations MRI ↗NeuroPath Industrial
See the plant that is running.
ATLANTA, GEORGIA
ON PREMISE · AIR-GAP CAPABLE · PATENT PENDING