Challenge

Orthometals plays a pivotal role in sustainable recycling by recovering valuable metals from crematoria, handling thousands of kilograms of leftover material every day. All with a simple yet critical cause in mind: maximize recycling to protect the planet for future generations. Yet, the sorting process was still largely manual, which posed a growing challenge. As global demand surged, Orthometals found itself constrained by labor-intensive operations. 

Solution

To unlock scalability without compromising on precision, Stekz joined forces with Orthometals’ in-house engineers and subject matter experts. Together, we are co-developing a smart sorting machine powered by AI. The goal? To assist human operators and massively boost efficiency.

At the heart of this solution is cutting-edge computer vision, combined with deep learning algorithms that identify and classify materials in real-time as they pass a camera on a conveyor belt. It’s a fusion of human care and machine intelligence, a synergy that sets a new standard for sustainable industrial operations.

Highlight

• Meeting rising global demand
• Maintaining uncompromising quality standards
• Freeing up human talent for higher value tasks
• Leading the way in ethical and efficient recycling practices

And it all happens with full data sovereignty, using open-source and fine-tuned models designed to keep control in the hands of the business, not BigTech.