AI that runs inside your plant.
Not somebody else’s cloud.
We build custom AI systems on your own hardware, tuned to how your operation actually works, and scoped against a number already on your P&L.
Throughput — last 14 days
LOCAL INFERENCEMost AI pilots die between the demo and the plant floor.
The data can’t leave
Drawings, process parameters, supplier terms, defect history. Legal says no, and legal is right. Every tool that requires an upload is dead on arrival.
The workflow isn’t generic
Your intake process exists because of a customer, an audit, or a mistake from 2011. Off-the-shelf software has no idea, so people route around it.
Nobody tied it to a number
“Improved efficiency” does not survive a budget review. If a deployment can’t be traced to margin, hours, or scrap, it gets cut.
Three things, done properly.
Custom local and secure AI deployments
Open-weight models running on hardware you own, inside your network. No third-party API, no vendor training on your data, and an air-gapped option where the environment demands it.
Optimizing business workflows
We map the work as it is actually done, find the steps that are slow because a human is reading something, and rebuild those steps. The rest we leave alone.
Driving bottom-line profit metrics
Every engagement starts by picking the number it has to move and how we’ll read it. If the number doesn’t move, we say so and stop.
Nothing leaves the building.
The models, the weights, the vector index and the logs all sit on hardware you own. We can operate fully disconnected from the internet, and the console will tell you at a glance whether anything has ever been sent out.
- Open-weight models, licensed to you, not rented
- Air-gapped deployment option for regulated lines
- Every prompt, retrieval and output written to an audit log
- If we walk away, it keeps running without us
/ MES
SHARES
SENSORS
Thirty minutes, one workflow, no deck.
Tell us the process that costs you the most time. We’ll tell you on the call whether AI is the right tool for it, and what it would take.
You describe the workflow
Who touches it, how long it takes, where it breaks.
We sketch the deployment
What runs where, on what hardware, at roughly what cost.
You get a written summary
Within two working days, whether or not you go ahead.
Thanks — that’s through.
We’ll come back to you today with two or three times that work, and a first read on your workflow.