Waste Sorting & Recycling

There is much value in the municipal waste streams.


Our services


We provide comprehensive expertise in the conceptual design and optimization of medium and large-scale waste sorting facilities.
Our approach combines engineering know-how, real-time data integration, and AI-based analytics to maximize sorting efficiency and material recovery.


Our Focus


We help operators of sorting and recycling facilities:

  • Increase recovery efficiency and reduce losses,
  • Gain full process transparency through smart visualization,
  • Make data-driven decisions for continuous improvement,
  • Identify and implement technology upgrades for better yield and sustainability.


What We Do


  • Mass balance and performance analytics – We build detailed mass balance models of sorting lines and integrate live process data into advanced dashboards.
  • Smart dashboards and KPI visualization – Our customized KPI dashboards provide real-time insight into plant performance, including throughput, recovery rates, and purity levels.
  • Live monitoring and data integration – We combine information from optical sorters (such as TOMRA and other leading sensor systems) with additional process data to create a unified, real-time view of the entire facility.
  • AI-assisted visual analytics – Using advanced computer vision technologies such as Greyparrot and PolyPerception, we continuously analyze material streams and identify trends or anomalies that impact process efficiency.
  • Process modeling and predictive optimization – We model and simulate the performance of sorting plants to evaluate potential process modifications and predict their effect on yield and quality.
  • Conceptual design and project support – We provide support through all project stages — from concept development and tender preparation to commissioning and operational fine-tuning.
  • Quality control systems and European compliance – Our solutions ensure compliance with European regulations on packaging materials and recycling performance.