• Real Time Optimization of cement equipment for energy cost savings and/or throughput increase, maintaining or improving quality
  • Recommendations for optimal set-points, directly written into the control system for autonomous operation
  • Reduction of equipment downtime due to smoother operations
  • Success proven in the operation of kiln systems, vertical raw mills, and horizontal raw mills
  • Results: increase the production and reduction of the specific consumption obtained


  • Optimal on-line operation for distillation columns (by adjusting the available degrees of freedom, while fulfilling quality constraints)
  • Predictive modelling for reactors in petrochemical industries, enabling smooth and optimized operations
  • Quality variables prediction and soft sensors


  • Combined and traditional cycles, waste-to-energy plants, and analytics and performance and evaluation for biomass data
  • Recommendations for optimal set-points, improving energy production
  • Equipment safety and process stabilization


  • Optimization of industrial wastewater treatment in a batch process
  • Sludge control (with recommended chemical additions)
  • Management of redox and pH


  • Paper mill optimization: vacuum (form & press), hood ventilation, machine drives, refining, steam drying, and air heating
  • Impacts different grades and types of paper and cardboard
  • Predicts breakages – to avoid or minimize machine shutdown times – by applying early change of control parameters
  • Optimizes refining of paper pulp, controlling consistency of paper product
  • Optimizes paper machine energy consumption, maintaning adequate humidity of the product


  • Data analysis for different production processes
  • Reduced  production time and energy loss
  • Optimization of energy consumption
  • Quality assured by analysis performed in laboratory conditions