AI Automation Partner
We automated our own shop.
Now we'll automate yours.
The dashboards, the AI briefings, the capability statement that updates itself — we built them for Heisler, running on our real shop-floor and ERP data. We will stand the same system up for your manufacturing business.
/ Runs on your data / On-prem or your private cloud / Built by engineers / US-based
Most vendors demo a sandbox.
Ours is live.
We are customer zero. This website rebuilds itself from our actual capabilities. Our team starts the day on AI briefings generated from our own ERP. The system you would buy is the system we run.
That is the difference. We are not selling a platform we read about — we are selling the one we depend on. Ask us for a live walkthrough and we will show you ours before we touch yours.
The concept we deployed
From shop-floor data to growth vectors.
We pull data from across the company and the process, filter it down to what matters, and run machine learning over it — turning raw records into a clear read on what our services actually are and where the next growth is.
The same pipeline we point at your business — your sources in, your analytics out. It re-runs continuously, so the read stays current.
What we build for you
Start with intelligence. Scale into the process.
Start · Living Capability System
Your data, finally answering questions.
We connect to the systems you already run and turn scattered records into one place you can ask anything.
- 01A living capability statement — always current for RFQs, never stale
- 02Role-aware morning briefings — owner, ops, project lead
- 03Ask-your-data chat across jobs, quotes, inventory & people
- 04Dashboards & reports that build themselves on a schedule
- 05Connects to Odoo and common ERP / MRP systems
Scale · Process ML
Then we point ML at the line.
Once your data is flowing, we apply machine learning where it pays back — on the physical process itself.
- 01Inspection & defect classification from your images
- 02Drift & trend detection before it becomes scrap
- 03Yield correlation across process parameters
- 04DOE planning & iteration reduction
- 05Engineers sign off — every call stays traceable
One partner, both halves. Most shops start with the intelligence layer and grow into process ML as the data matures.
You have the data.
It just isn't working for you.
Most small manufacturers sit on years of records trapped in an ERP nobody has time to query. The capability statement is a year old. The morning starts with gut feel and a spreadsheet.
We close that gap. Decisions come off real numbers, not memory. Your capability statement is current the day a buyer asks for it. Drift on the line gets caught before it ships. You do not need a data team — you need the system, and an engineer who has already built it once.
Our reference system — running at Heisler today
Data models unified across 11 business domains — one ask-anything layer
AI briefings refreshed daily · role-aware by owner, ops & project lead
Pipeline from ERP to dashboard to public capability page
Live walkthrough of the real system on request — not a demo environment.
How we engage
Live in weeks, not quarters.
Your data never leaves your control.
On-prem or your private cloud, read-only into your systems. We build it to hand over — not to lock you in. Start with the intelligence layer, prove the value, then scale.
FAQ
Common questions.
What exactly do you set up for a manufacturer?
We connect your ERP/MRP and shop-floor data into one place, then stand up a living capability statement, role-aware AI briefings, ask-your-data chat over your own records, and dashboards and reports that refresh on a schedule. As the data matures we add machine learning on the physical process — inspection, drift, and yield.
Where does our data live?
On your infrastructure. We connect read-only to your systems and build it for you to own — on-prem or your private cloud. Your data stays yours and we do not lock you in.
How long until something is live?
Weeks, not quarters. We start with the intelligence layer — the living capability statement and briefings — prove the value, then scale into process ML where the data supports it.
Do we need a data team?
No — that is the point. We have already built and run the system on our own shop; we hand you the working system, not a project to staff.
What systems do you connect to?
Odoo and common ERP/MRP systems. If it holds your jobs, quotes, inventory, timesheets, and inspection data, we can usually read it.
Process More.
Stop running the shop
on gut feel and stale spreadsheets.
Book a discovery call and we will show you the system live — ours, running on our real data — then scope what the same would look like on yours.
/ Your data stays yours / US-based