Angsa Robotics
Angsa Robotics builds autonomous robots that detect and remove small trash from grass and gravel, improving cleanup speed and consistency. The robots use AI-based visual detection to distinguish litter from organic materials and employ autonomous navigation with obstacle avoidance for safe operation around people and dynamic objects. Hardware features include a 30-liter trash capacity, typical 8-hour runtime, and weather- and terrain-resistant design for parks, events, and private grounds. The offering combines B2B robotics hardware with cloud software/SaaS for operations and data-based analysis, targeting municipal parks, event organizers, and grounds managers.
Angsa Robotics
Angsa Robotics builds autonomous robots that detect and remove small trash from grass and gravel, improving cleanup speed and consistency. The robots use AI-based visual detection to distinguish litter from organic materials and employ autonomous navigation with obstacle avoidance for safe operation around people and dynamic objects. Hardware features include a 30-liter trash capacity, typical 8-hour runtime, and weather- and terrain-resistant design for parks, events, and private grounds. The offering combines B2B robotics hardware with cloud software/SaaS for operations and data-based analysis, targeting municipal parks, event organizers, and grounds managers.
TL;DR
Product: Autonomous outdoor trash-collection robot with web/mobile app and GIS-based monitoring
Headquarters: Munich / Garching, Germany
Founded: 2019
Funding: Seed round led by Husqvarna Ventures (announced 2023-06-14)
Typical runtime / capacity: ~8 hours runtime; ~30 L trash capacity; cleans up to ~8,000 m² / >2,000 items per shift
Company Overview
Problem Domain
Outdoor litter/micro-litter collection and grounds maintenance optimization.
Founded
2019
Industry
DeepTech
Tech Stack
Funding Track Record
Seed round announced on 2023-06-14; press reports reference EUR 2.5M but amount is not unified across sources.
Investor Signal
“Husqvarna Ventures led Seed investment”