}

Low-code and AI in the chemical industry

The chemical industry stands on the brink of an unprecedented technological transformation. Pressured by sustainability requirements, rising energy and raw material costs and a shortage of technical staff, chemical companies are seeking ways to work smarter, faster and more efficiently.

Artificial Intelligence (AI) can play a decisive role here, from predictive maintenance to real-time process optimization.

To implement AI successfully, a flexible digital foundation is needed. As an experienced Mendix partner in the chemical sector, Squad Apps helps companies bridge this technological transformation with low-code solutions that integrate seamlessly with existing systems and processes.

Opportunities and challenges of AI in the chemical industry

The complexity of chemical processes and the strict quality and safety standards make digital innovation challenging. Systems must comply with regulations on compliance, data security and privacy, while many processes are still carried out manually or in Excel. AI offers enormous opportunities here: predicting machine failures, analyzing patterns in deviations or optimizing energy consumption.

However, initiatives to improve operations with AI are often limited by fragmented data, outdated IT systems and a lack of specialized development capacity. A solid digital infrastructure must be established first; otherwise, the move toward AI becomes slow, costly and risky.

Low-code as an accelerator of AI innovation

Low-code platforms such as Mendix make it possible to develop applications visually. No months long development cycles, but projects that can be completed in just a few weeks. By fostering collaboration between business and IT, prototypes can be built quickly, tested and then taken into production. This turns AI integration from a multiyear project into a matter of weeks.

Low-code is also ideal for breaking down data silos and creating centralized access to information. This is crucial for training reliable AI models.

Mendix: Low-code and AI in one environment

By using Mendix, companies not only gain a powerful low-code platform but also built-in AI support via Mendix AI Assistance (Maia) and generative AI packs. These tools help our Squadrians develop functionality faster, write code and set up integrations with core systems in the chemical industry, such as SAP.

As a result, chemical producers can develop new AI-driven applications safely and at scale while fitting directly into their existing IT architecture.

Squad Apps in practice

Squad Apps has already delivered multiple projects for chemical manufacturers, including several for dsm-firmenich. These solutions range from:

  • Maintenance platforms to optimize machine upkeep and prevent downtime.
  • Recipe-building applications to support the creation of new formulas and compositions.
  • Pricing solutions that use smart calculations to ensure accurate product pricing.

By deploying low-code intelligently, we help chemical companies unlock their potential without lengthy and costly development projects.

What’s next?

Ready to put this into practice? Get in touch and discover how we can prepare your chemical company for the future. Together.

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Written by
Maarten
Bongers

Frequently Asked Questions

You might have questions. Can't find what you're looking for? Reach out to us!

What are the best low-code solutions for the chemical sector?

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In the chemical industry, we see the greatest impact from applications focused on safety, quality control, and compliance. With Mendix, we develop robust solutions that bridge the gap between IT and OT.

I’m looking for advice on implementing low-code in a chemical company. Where should I start?

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Start with a clear and concrete business case and choose a high-impact process. Use a design sprint to map out all stakeholder requirements and wishes, and validate them quickly with a working solution. Then scale up in a controlled way with Mendix as the foundation.

What role do low-code platforms with AI and machine learning integration play in the chemical sector?

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By using low-code platforms with AI and machine learning integration, chemical companies can shift from reactive to proactive management. AI can, for example, analyze vast amounts of sensor data from production lines to predict deviations in chemical compositions before they fall outside acceptable limits. This helps ensure product quality and minimizes waste of expensive raw materials.

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