Sortrace, a Stockholm-based firm, has closed an $800,000 funding round to accelerate deployment of its artificial intelligence system for waste stream analysis. The round was anchored by Almi Invest, with backing from Antler, Gorilla Capital and a group of angel investors.
The company, founded by Rahel Surshi (CEO) and Tomas Kjellstrand, has built a platform combining computer vision, camera hardware and data processing to give municipalities and waste operators visibility into how households sort their refuse. The system deploys cameras on collection trucks to photograph waste as bins are emptied, then uses AI to categorize contents and flag sorting errors.
Swedish local authorities now carry legal responsibility for ensuring proper household waste separation. Yet the absence of granular data on what actually ends up in bins has left them unable to measure whether their collection schemes and public education campaigns are working.
Sortrace's approach transforms images into actionable intelligence tied to specific bins and collection routes. This lets waste managers pinpoint neighborhoods or collection zones where sorting discipline is weakest, then focus corrective efforts where they matter most.
Municipalities face new requirements and are investing heavily in collection and in information to households. But without data, no one knows whether those efforts work. We make mis-sorting visible at every emptying, so municipalities can act where the problems actually are
Rahel Surshi, CEO and co-founder of Sortrace
The system is engineered to lower waste handling expenses, divert material away from incinerators and lift recycling performance. Sortrace notes that its analysis respects privacy rules, keeping image data within European borders.
The company already operates with multiple municipalities and recycling-sector partners. The fresh capital will fuel growth in municipal demand and allow Sortrace to broaden its technology beyond collection vehicles into other waste management phases.
Source: Tech.eu
