AI systems For manufacturers

Built around how you make things.
Running inside your walls.

Scheduling software for job shops. Knowledge tools and configurators for engineered-product makers. Your data never reaches a public AI model.

Illustration: an engineering drawing of a flanged housing. When the size input changes, code recalculates every dimension and runs the checks, and one rule flags the part for engineering review. AI traces the minimum-wall note to its two source documents and reads a vendor email that delays heat treat. A solver finds room to grind the job a day early, then an engineer signs the drawing and the planner approves the move.

Illustrative example

Most AI is built to sound right. Ours is built to be checked.

How we work

AI reads and explains. It never does the arithmetic.

The same five rules apply to everything we build, whether it's a schedule, an answer or a calculation.

Private by design.

Models run on hardware or a private cloud you approve. Your data doesn't go to a public AI service, for any of our products.

The math is checked by math.

Schedules are checked by rules and a constraint solver. Configurators and calculators are deterministic code. AI reads documents, finds sources and explains results, and that's where it stops.

A person says yes.

Nothing changes in your ERP, your schedule or a design until a named person approves it. We log who approved what, and when.

Every answer shows its evidence.

You see the sources, how fresh they are, and which checks ran. When the evidence isn't there, the system says "insufficient evidence" and asks someone to fill the gap.

One product line, fitted to you.

We configure software we maintain instead of writing a new codebase for every customer. So fixes and updates reach you without a rebuild.

Product first. Services that make the product better.

Every engagement fits one of three shapes, and we tell you which before any work starts.

Included

Configuration

Most of what we deliver. Your routings, calendars, priorities, approval rules, report formats and units, set up in software we already maintain.

Priced as implementation

A reusable extension

When you need something we haven't built, we build it as a capability the next customer can use too. That keeps it maintained long after your project ends.

Quoted separately

One-off work

Work only one customer will ever need. We quote it on its own and tell you plainly what it costs to support. We turn down work that would split the product in two.

And if the honest answer is a setting in the ERP you already own, we'll tell you that instead.

Your data stays where you put it.

We win by being useful, not by making it painful to leave.

You own it

Your data, and anything we derive from it, belongs to you. Export it whenever you like.

Nothing shared by default

We don't train anything shared on your data. Aggregate learning happens only with separate, written permission, and it's never a condition of service.

No public AI APIs

Inference runs inside the boundary you approve. Our engineers build and test with synthetic data, and they don't get access to your production records by default.

Commercial work only

We don't accept ITAR-controlled technical data, and we screen other export restrictions before anything is loaded.

Straight answers.

Both, on purpose. We build software we maintain and configure it to each customer. When something new is needed, we build it so the next customer can use it too. One-off work is priced separately, and we say no to work that would fork the product.

On hardware or a private cloud you approve. We agree one supported deployment pattern with you before quoting, including who owns the hardware, upgrades and support.

Not by default. Using your information for anything beyond your own deployment needs separate written permission, and refusing it doesn't change your service.

No. Everything we build reads from the systems you already run. Cadence starts read-only and doesn't write back.

We serve commercial manufacturing. We don't accept ITAR-controlled technical data, and we screen other restrictions before any data is loaded.

With a paid, bounded scope: one problem, one data route, success measures we agree once a baseline exists, and a decision at the end to continue, narrow or stop.

About Quogen

Quogen is a small, self-funded company building AI systems for manufacturers. We're not chasing every corner of manufacturing software: no ERP replacement, no marketplace, no promise to run your whole operation from an app. What we do is narrower. We fit software to how a manufacturer actually works, keep it inside their walls, and make sure a person can check every answer it gives.

Tell us about the problem.

Talk to us

or write to info@quogen.ai

Say whether it's about Cadence, a company brain or a configurator, and we'll take it from there.

We reply to every message ourselves. If we're not the right fit, we'll say so, and usually suggest who is.