WasteAnt transforms waste into a more valuable resource through AI-based waste quality management.

We are a pioneer in the automated assessment of high-volume, unstructured waste streams. Our technology continuously analyzes and quantifies complex waste inputs, enabling impurity detection, value-chain traceability, and more efficient plant operations.

Our mission is to develop solutions capable of analyzing large volumes of unstructured waste to improve the utilization of waste types that are currently classified as low-value in the Waste Framework Directive. In this challenging environment, our models learn to assess any type of waste—supporting operators in generating more energy from waste, reducing the need for fossil fuels, and strengthening circularity in waste-to-energy plants.

With our AI-based system, we bring full transparency to unstructured waste streams: identification of impurities, temperature hot spots, emissions indicators, calorific value, validation of waste classification codes, and characteristics such as homogeneity or dustiness. All results are seamlessly linked to supplier traceability and delivered through automated, actionable reports.

Building on our foundation in waste-to-energy, we are extending our models to enable advanced waste quality assessments across recycling, sorting, and other segments of the circular economy.