
SIWRA
Everyone hates recycling.
We automate it.
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We redefine recycling by making sustainable decisions the default outcome through intelligent infrastructure systems – building machines and system layers that sort and optimize materials, emissions, and waste streams at the point of interaction. Our machines feature automated multi-stream sorting, real-time fullness alerts and waste compression, reducing human error and transport emissions while supporting sustainability goals.
Services

SIWRA SORT
SIWRA SORT is our intelligent waste sorting machine that automatically identifies and separates plastics, paper, metals, textiles, and batteries using AI-powered cameras and sensors.
Designed to simplify recycling operations, SIWRA SORT ensures accurate separation at the point of disposal while reducing manual effort and operational complexity.
It provides:
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Multi-stream sorting with real-time material identification
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Automated compression to reduce collection frequency and save space
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Consolidated waste data dashboards across stores, regions, or entire organizations
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Data-driven insights without manual checks or additional workload
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Reliable compliance without requiring behavioural change from users

SIWRA COMPACT
SIWRA COMPACT is designed for locations with limited space while still delivering intelligent waste sorting and efficient waste management.
Equipped with automated compression and AI-powered sensors, SIWRA COMPACT guides users to sort materials correctly in real time, helping reduce mis-sorting and collection frequency without adding operational complexity.
It provides:
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Automated compression to reduce collection frequency and save space
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AI-driven sorting guidance in real time
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Consolidated waste data dashboards across stores, regions, or entire organizations
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Reduced mis-sorting and improved recycling accuracy
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Reliable compliance without additional workload or behavioural change
Engineering Effortless Recycling
SIWRA is a Stockholm-based company transforming how we recycle. Leveraging cutting-edge technology, we deliver behavioural operating systems for sustainable infrastructure and high-performance solutions that help clients meet stricter regulations, boost recycling rates, and reduce operational inefficiencies by automatically sort plastics, paper, metals, textiles, and batteries – making recycling simpler, faster, and more efficient.
Our solution complements existing infrastructure, removing the human factor from sorting and overcoming the inherent biases toward convenience. By making correct recycling effortless, we enable organizations to optimize day-to-day waste management operations while delivering measurable environmental impact and reaching sustainability goals without needing behavioral change.
By combining behavioural science with machine intelligence, we remove friction and effort from circularity and infrastructure systems – enabling cities, retailers and governments to reach sustainability targets by design, not persuasion.
Advanced Multi-Stream Sorting
Our machines automatically separate plastics, paper, metals, textiles, and batteries in one system, eliminating manual sorting, reducing contamination, and helping clients meet tightening regulatory demands.
Smart Sensor–Driven Efficiency
Built-in sensors track fill levels in real time, enabling optimized collection schedules. In combination with waste compression, fewer unnecessary pickups is needed, resulting in lower costs and significantly cut transport emissions.
Modular & Compliant
Real-time reporting provides traceable compliance documentation. Plug-and-play installation enables rapid deployment within existing waste rooms and building layouts. Scalable, upgradeable system future-proofs customers against evolving legislation.
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Meet the Team
SIWRA is founded by a multidisciplinary team with complementary expertise in sustainability strategy, industrial design, and advanced software systems. By bridging behavioural science and technology, the founders combine commercial insight, hardware innovation, and scalable software intelligence to make sustainable outcomes automatic at scale.



