Our Motto for PaintExpo 2026: Finishing for Compliments

Turning research and know-how into real compliments – for sustainable, smart coating processes.

Whether coating thickness, drying, overspray reduction or AI in painting processes: at PaintExpo 2026, we demonstrate how cutting-edge technologies and latest research results can make your coating processes noticeably better, more efficient and more sustainable.

Our team brings scientific expertise directly into your production environment. Together, we identify the biggest levers in your coating process – fast, measurable and practical. So your painting process gets the compliments it deserves. Visit us in Karlsruhe – we look forward to the exchange!

👉 Book your meeting at the trade fair now!

🌱 Sustainable. Resource-efficient. Future-ready. Compliments that really pay off:
 

✔  Compliments for 100% material utilization

Because precise layer build-up, overspray-free and digitally supported coating processes show what real efficiency looks like.

✔ Compliments for successful circularity

Because innovative stripping and reuse concepts ensure that coated components are not at the end, but at the beginning of a new product life cycle.

✔ Compliments for 30% less energy in drying

Because energy-optimized curing and drying processes lower operating costs while reducing environmental impact.

🤖 Digital. Efficient. Reliable.Compliments for smart, AI-driven coating processes:
 

✔ Compliments for AI-based process stability

Because intelligent data models automatically detect deviations, counteract them and ensure consistently high quality.

✔ Compliments for perfect coating thickness – right from the start

Because AI-based application optimization eliminates time-consuming rework.

✔ Compliments for next-level automation

Because automation relieves skilled workers, reduces setup times and operates equipment demand-specifically – more efficiently than ever.

👉 Interested in a technical center visit or a use case for your optimized process? Contact us.

• Our coating thickness fluctuates – how can we stabilize it?
• Drying energy costs are eating into our margins – where are the levers?
• We face overspray and material losses – how can we increase material efficiency?
• Scrap and rework cost time – what does AI really deliver in application?
• We need to prove CO₂ and energy savings – how do we measure and report them?
• Automation sounds good – but where do we start and what pays off?
• How can we reliably implement circular processes (stripping/reuse)?
• We need robust processes despite skilled labor shortages – what are our options?

Next step: 👉 Book a short meeting (20 min.) – for an initial process check

We combine scientific depth with hands-on experience from coating lines, pilot-scale trials and industrial projects – from material formulation and application to drying and AI-driven process control. Your result: measurable improvements in quality, efficiency and sustainability – no hype, just reliable data.

What we specifically deliver for coating companies: Development and optimization projects with clear ROI

• Feasibility studies, pilots and trials in technical centers
• Process optimization: application, drying, quality, stability
• Digitalization & AI: monitoring, fault detection, data models, next-level automation
• Failure analysis for process issues or customer complaints
• Process simulations
• Circular economy projects: stripping, recycling, reuse strategies
• Planning of coating systems

👉 WeKnowCoaTech Expert Sessions – free knowledge transfer (in German)

👉 Our solutions in Coatings and Multifunctional Materials

👉 Flyer: Efficient, environmentally friendly coating processes

👉 All aspects of corrosion management and protection 

👉 Accredited testing laboratory according to DIN EN ISO/IEC 17025:2018

How quickly will we see results?

First quick wins typically emerge within a few weeks after the potential assessment – depending on data availability and process complexity.

Do we need new equipment?

Often not. Many effects can be achieved through parameter, process and software optimization on existing systems.

How reliable are the savings?

We work measurement- and data-driven (technical centers, labs, comprehensive metrology). Results are validated and documented.

How do we start with AI?

With clearly defined use cases (e.g. anomaly detection or coating thickness), minimally invasive data acquisition and a pilot with a sound business case.

What does it cost?

A transparent step-by-step model (check → pilot → rollout). ROI and business case are discussed during the initial meeting.