Ask your ERP in plain English
A supervisor types a question and gets the answer from ERP and shop-floor data, with links to the records. No new report for every new question.
We engineer software around how your operation actually works.
AI development services for manufacturing
Starting with your data
We build AI into your software where it saves your team time: answers from ERP data in plain English, and earlier warnings when something is about to go wrong. One workflow, a clear baseline, data you already have. If the data isn't ready, we fix that first.
Sound familiar?
Why so many AI pilots end up on a shelf
The demo looked good, then the pilot quietly stopped. The reasons tend to repeat.
What the plan assumedWhat happened in the plant
The ERP data is good enough to train onPart numbers, units and machine states don't match across systems
Operators will follow the recommendationsNobody could see why the model said what it said, so nobody trusted it
AI is the first stepBasic reporting and process control weren't in place yet
The pilot will prove ROIThere was no baseline, so nobody could say what changed
AI on top of a shaky process mostly makes the shaky parts fail faster. We fix the process first, then add AI where it clearly helps.
Use cases
AI solutions for manufacturing that pay back first
The projects we'd look at first, because the data usually exists and the result is easy to measure.
Shortage and delay alerts
Watches open orders, stock, supplier dates and machine plans, and flags jobs at risk days before they slip. Planners get a short list each morning.
Demand forecasting
Built from order history, seasonality and customer patterns. Sometimes a tuned statistical model beats a neural network, and we use whichever works on your data.
Visual quality inspection
Cameras and image models check parts at a fixed station. Borderline parts go to an inspector, so the model supports people instead of overruling them.
Quote and drawing assistance
AI reads RFQs and drawings and prepares a first estimate for your estimator to check.
Configurator & CPQ →Maintenance anomaly detection
Machine data shows unusual patterns before a breakdown.
Industrial IoT →AI consulting services for manufacturing
Is your data ready? Five questions we ask first
If most answers are "no", the first project is a data project, and that's fine.
- 01Are part numbers, units and customer IDs the same across your ERP, MES and spreadsheets?
- 02Do you record why machines stop, or only that they stopped?
- 03Do you have at least a year of history for the process you want to improve?
- 04Can we reach that data through an API or a database, or is it locked in exports?
- 05Who on your side owns the data and can say whether an answer looks right?
Honest scope
When we'll recommend something simpler
A lot of "AI projects" are really reporting or integration projects. If one of these solves the problem, that's what we'll build. It's cheaper to run, and AI can still go on top later.
Process
AI software development for manufacturing, step by step
- 01Pick one workflowChosen together, by hours lost or money at risk.
- 02Measure the baselineHow long it takes, how often it goes wrong, what it costs.
- 03Build into current toolsAnswers show up in your ERP, MES or portal screens.
- 04Person on costly callsThe model suggests; your team approves.
- 05Track qualityWe monitor accuracy and retrain when it drops.
- 06ScaleThe next workflow, once the first one shows results.
You see working software early, and scope or budget changes are agreed first. We use AI in our own work too; the quality of what we deliver stays on us.
Security
Your data stays yours
Models run in your cloud account or a private environment we set up.
Your production data isn't used to train public models.
Access follows the same roles you already use in your ERP.
Every answer traces back to its source records.
Proof
Data and alerts we've built
E-commerce · nightly data pipeline and alertsPrice Tracker
Reads prices across ten marketplaces every night and flags a 15% move the same night. It also tells a site that's down apart from one that was redesigned.
View case study →
Healthcare · built on top of a system of recordEHR Layer
Reads open referrals from the existing record system every minute and writes results back. Sensitive data never leaves the system it lives in.
View case study →FAQ
Questions about AI in the plant
Is our manufacturing data ready for AI?
Often partly. The five questions above give a quick read. A readiness check looks closer at the systems involved and tells you what to clean up first.
Which AI project should we start with?
The one where you can measure the result and the data already exists. Plain-English answers from ERP data and shortage alerts are common first picks, because they save planners and supervisors time from week one.
Can AI work on top of our current ERP?
Yes. We connect to the ERP and other systems you run today and show results inside the screens your team uses. Replacing the ERP isn't part of it (Custom ERP).
How do you keep a person in the loop?
For anything that affects cost, quality or a customer, the model makes a suggestion and a person approves it. You decide where that line sits.
How do you stop wrong answers from reaching production?
Answers cite the records they come from, so people can check them. We limit what the model can do on its own, test it against real cases before launch, and monitor accuracy afterwards.
What should we expect from a manufacturing AI development partner?
A clear baseline, one workflow at a time, results inside your existing tools, and someone who tells you when AI isn't the right answer. Also ask who owns the code and the trained models. With us, you do.
What does an AI pilot cost?
Cost follows the workflow, the data work needed and the systems involved. After the readiness check you get a scope and estimate, agreed before any build starts.
Which decision does your team make with the least information?
That's often the best place for AI to start. Book a readiness check, and we'll look at your data and one workflow with you.
Or call us directly:+1 888-438-4988