WasteAnt GmbH

The challenges that waste-to-energy plants face every day are diverse and require innovative solutions. There is no automatic system that can analyze high-volume material flows in real time for characteristics and ingredients. Hidden impurities can lead to drop chute blockages, and a lack of homogenization can lead to calorific value anomalies. WasteAnt offers sensor-based, AI-powered quality analysis for large-volume, unstructured waste streams. This creates a completely new level of transparency over waste streams, enabling waste management companies to make proactive decisions about waste treatment. By using various types of sensors in combination with system and ERP data, impurities can be identified, waste classification codes can be validated, characteristics such as homogeneity, chunkiness, dustiness and temperature can be evaluated, or calorific value and emission estimates can be created.