Cement

Predict & preventquality, throughput, energy and emissions losses

Using Artificial Intelligence

Using Artificial Intelligence

Examples of process-driven losses we solve for cement manufacturers

Cement manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes.

Examples of process-driven losses we solve for concrete manufacturers

Cement manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes.

Slide Improve clinker quality Increase refractory lifetime
Increase throughput
Reduce kiln feed variance

Slide SNCR optimization Optimize fuel consumption
Ammonia cost optimization
- input vs emissions
Optimize energy consumption
Reduce emissions
Kiln burning zone temperature optimization
HOW WE DO ITGET A DEMO

"Using Seebo has put us on the path of achieving significant financial benefits, by reducing the process inefficiencies causing yield and quality losses.”

Jim Martin, Global Operational Excellence Manager, Allnex

Seebo in action

Improving chemical production quality and yield by minimizing process inefficiencies