AI in manufacturing
Production dataturned into a decision on the floor
Quality inspection, maintenance prediction, and production planning — the applied-ML work we do in logistics, pointed at a plant instead of a warehouse.
500+
Projects delivered
most under NDA
100+
Clients served
5 regions
5
Systems live
in production now
—
Clutch rating
awaiting verified score
What we build
The work itself,component by component
Visual quality inspection
Defect detection on the line with a confidence-driven review queue.
Predictive maintenance
Sensor baselines per machine, alerting on deviation rather than on a calendar.
Production planning
Scheduling under real constraints: capacity, changeover, and material availability.
Yield analysis
Which variables actually move yield, ranked and testable.
Shop-floor interfaces
Screens designed for gloves, glare, and a five-second glance.
ERP and MES integration
Signals written back into the systems the plant already runs on.
Why it matters
What changesonce it is running
Three things a buyer of this work should be able to hold us to.
Caught on the line — A defect flagged at station four costs less than one found at dispatch.
Maintenance when needed — Condition-based scheduling instead of fixed intervals.
Usable at the machine — Interfaces designed for the floor, not for a manager's laptop.
Stack we use for this
- Python
- PyTorch
- OpenCV
- PostgreSQL
- Docker
- MQTT
How it runs
Four stages,and you can leave after any of them
Scope
We agree what the system does and what shipping means, in writing.
Build
Short cycles in your repository, running before it is finished.
Ship
Deployed into your cloud account, reachable by a real user.
Stay
Maintenance and roadmap by the same engineers who built it.
Proof
The systemsthat back this page
FAQ
Questionswe get asked
Do we need new cameras or sensors?
Sometimes. The assessment says what your existing hardware can support before anything is bought.
Can it run without internet on the floor?
Yes — inference can run on-premise with sync when connectivity returns.
How is it integrated with our MES?
Through its API where one exists; otherwise through a documented interchange we agree up front.
AI in manufacturing