Discover how Machine Learning contributes to Quality Assurance for Chemical Intermediates!

Today’s process industry faces a multitude of factors contributing to increasing uncertainty across the supply chain:

• Limited quality, availability and unpredictable pricing of raw materials

• Evolving regulatory requirements, including restrictions or even the need to replace key substances

• Rising cost pressures, energy prices, and growing customer expectations

• …and many more

You may have your own pressing challenges to add to this list. Still, we all know that simply invoking the latest buzzwords, be it “Generative AI” or “Quantum Computing”, won’t magically solve these complex issues overnight.
At divis intelligent solutions GmbH, we offer a proven, pragmatic approach. Much like moving a mountain one shovel at a time, we focus on concrete use cases in development, production, product quality assurance, process parameterization, and maintenance. Together with our clients, we assess the available data and derive predictive models that are then processed using state-of-the-art, high-performance algorithms.

“Just traditional machine learning?” That may sound kind of boring after all, it’s been around for years.

True expertise lies in efficiently identifying the most suitable algorithm, whether for pattern recognition, predictive modeling, hyperparameter optimization, anomaly detection, or parameter optimization, to name just a few examples.

Take a look at our reference project with IOI Oleo GmbH in the process industry: we helped a client reduce significant batch losses to achieving 100% quality, reliably.

Our consulting, services, and software suite, designed for various deployment scenarios, can help you meet the quality standards your customers expect, without relying on magic. If you need to adapt your formulations or want to optimize product quality, machine learning can forecast whether your target product specifications will be met and suggest optimal process parameters accordingly.

We’ve already successfully implemented many such real-world use cases.

So, what is more valuable, 20 years of hands-on industry experience combined with the latest scientific insights into quantum computing and machine learning, or chasing the next hype?

We invite you to get to know us better. Book an initial consultation with our experts today, or contact our colleague Jens Beier directly.