Services 02
AI engineering into production
Not a demo and not a chatbot on top of a PDF. We build AI that works inside your process, alongside the people who own that process, and we measure what it changed.
When this fits
- Quality problems are found after the fact, when defective parts are already made.
- People manually compare photos, documents or specifications with what is in front of them.
- Quotes, reports or decisions take hours of collecting data from several systems.
- You have a pilot that works in a notebook but never reached the shop floor.
What you have at the end
- A system working in your process, with a measured effect against the baseline.
- Documented accuracy from shadow mode, before go-live.
- Monitoring, a retraining routine and a team that knows how to use it.
What we build
- 01
Computer vision for quality
Weld geometry and porosity, kit completeness, part variants. Vision models plus rules and OCR, with uncertain cases routed to an operator.
- 02
Forecasting and early warning
From one measurement to a trend: the system predicts when quality or load will cross a threshold and warns before it happens.
- 03
GenAI agents with approval
Agents that collect data from emails, documents and company tools, prepare the output and hand it to an expert for approval.
- 04
Evaluation before trust
Every model is tested against historical data and expert decisions; agents are evaluated before they get real tasks.
- 05
Integration and operations
Alerts and results land in the tools people already use. We monitor drift, retrain and keep it running.
Start with
Related case studies
Weld quality AI: 86% fewer defective parts
Global automotive parts manufacturer · Automotive, metal components
Kit inspection with computer vision: 63% fewer complaints
Global manufacturer of industrial equipment · Industrial equipment manufacturing
GenAI quoting agent: from 4 to 6 hours to 15 minutes
Manufacturing company · Manufacturing
Questions buyers ask
How do you know the model is good enough?
We agree the threshold up front and test against your history and experts. In weld inspection the system ran in shadow mode until its decisions matched those of senior engineers; only then did it start to affect the process.
Will AI make decisions on its own?
Only where you decide it should. In our quoting agent experts approve every quote; cases that need an individual decision always go to a person.
What data do you need to start?
Usually what you already collect: images, measurements, logs, documents and the decisions people made on them. The AI readiness assessment checks this before you commit to a pilot.
What does a pilot cost?
The pilot on your data has a fixed scope and a "from" price on its page. The pilot ends with a go-live, iterate or stop decision based on measured results.
Let's talk about your project
Tell us about your case
Pick one problem.
Show us the data you have.
Let's agree a measurable goal.
Name the process and the data you have. An engineer, not a call centre, gets back to you.
We reply within one business day.