The chemical industry doesn’t have a data problem, it has trouble using it. Factories run on data streams that provide insight into performance and risks every second. Yet, decisions are still made based on outdated reports, Excel sheets and scattered emails. And that’s where the pain lies: you collect data, but don’t use it to make production smarter.
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Not because people don’t understand it or because the data is “worse” than in other industries. The real issue is that the IT environment structurally gets in the way.
The result? Insights get stuck, improvements are delayed and unnecessary risks increase.
In the chemical industry, technology must be both reliable and fast. Low-code delivers exactly that. No endless design cycles. No waiting half a year for an MVP.
You build tools that run directly on the shop floor:
Low-code integrates with existing systems. No “rip and replace”, but adding value on top of what already works.
AI is not a futuristic gimmick. It’s a practical tool that does exactly what an operator or engineer cannot: recognize patterns while the process keeps running.
AI can predict:
But AI without execution is worthless. If those insights never reach operations, they’re no more useful than a PDF sitting on SharePoint.
With low-code, you embed AI where it belongs: directly into your work processes.
Examples we are already delivering today:
We design solutions not for IT departments, but for the teams that keep the plant running.
Our squads:
We accelerate what is currently stuck: from insight to action to results.
Data-driven production doesn’t happen by itself. You don’t get there by storing even more data or generating yet another report.
You get there by using agile technology that turns data into action.
Low-code combined with AI means smarter production, higher safety, less waste and more control.
Curious about what low-code can do for your organization? Get in touch with us!