Manufacturing
A machine standing idle, a batch with too many rejects, a schedule that no longer holds true: manufacturing often lacks the connected picture. Bring that data together into one AI-ready data foundation, and you steer while there's still time, instead of explaining afterward.
Challenges in manufacturing
A manufacturing environment relies on all kinds of separate systems: an ERP (Enterprise Resource Planning) for orders and finance, an MES (Manufacturing Execution System) for controlling production, machine and sensor data from the shop floor, a quality system, and the inevitable Excel sheets. Useful on their own, but together they form islands. You feel that daily:
- The same data gets entered twice and reports contradict each other, so nobody's sure which figure is right.
- You often only see downtime, rejects, or defects after the fact, when it's too late to adjust.
- Margins, stock, and lead times per order or product are hard to keep track of as long as the data is fragmented.
- Every system has its own reporting, resulting in a proliferation of reports and separate truths.
The challenge, then, isn't "more systems," but control: an AI-ready data foundation that everyone draws from, from the shop floor to the boardroom.
What we do for manufacturing
We bring together the data from your existing systems into one AI-ready data foundation, and build the layer on top that makes the work lighter. That way your organization shifts from explaining afterward to adjusting in time:
Data-driven work
We start with a clear approach: which issue do you tackle first, for example machine downtime or margin per order, and what's the route to steering on data.
AI-ready data platform
Your data from ERP, production, machines, and quality comes together in one reliable, well-managed source, with governance built in from the ground up. After all, insights and AI are only as reliable as the data underneath.
App development
Custom applications that we can develop quickly and connect to your own processes, for example an app that links shop-floor notifications to planning and maintenance.
AI solutions
Predictive insights that help anticipate downtime, maintenance, and demand, so you prevent standstills instead of repairing them, with fewer surprises.
Get started
Want to know what an AI-ready data foundation can mean for your organization? Schedule an introductory meeting via this form.
FAQ
Schedule an introductory meeting via this form.
At the foundation. First we make sure your data from ERP, production, machines, and quality reliably comes together from one source, then we build the dashboards, analyses, and apps on top of it. Starting with one concrete issue, such as machine downtime or margin per order, works best.
How does data help against downtime and failures?
When your production and machine data comes together in real time, you see deviations as they occur instead of afterward. With predictive analytics, you can schedule maintenance before a machine fails, preventing downtime.
Can we keep using our existing systems?
Yes. We bring together the data from your ERP, production systems, and machines into one AI-ready data foundation. You keep the tools that work; we make sure the information coming out of them is correct, flows, and becomes usable.