Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the waste management industry. This time, you get to discover 5 hand-picked startups developing robotic recycling solutions.
Global Startup Heat Map: 5 Top Robotic Recycling Solutions
The 5 waste management startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 216 companies we analyzed for this specific topic.
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Everest Labs – Artificial Intelligence-Powered Recycling
Secondary commodity consumers require certain standards of the quality and purity of the materials. In order to make the sorting process more precise, startups develop robotics solutions that increase the efficiency of adaptive recovery. The solutions increase the quantity of recycled material, thereby reducing recycling contamination.
US-based startup Everest Labs provides AI-powered hardware solutions suitable for any type of recycling facility. Additionally, Everest Labs offers business intelligence services powered by computer vision and AI. The startup’s solutions improve the efficiency of adaptive recovery at recycling facilities.
SuperBin – Recycling Payoff Machine
Recycling efforts are often hindered by people’s indifference. To change the public perception towards recycling, startups develop resource recovery hardware solutions capable of identifying materials and designating points to contributors for their input. The accumulated points can later be exchanged for money, showing people that their contributions create added value, as well as improving the quality of recyclable materials.
South Korean startup SuperBin develops recycled resource recovery robotics solutions. The startup’s product uses AI, big data, and the Internet of Things (IoT) to correctly identify input materials. Additionally, the startup builds environmental consciousness within communities and helps people understand the value they create when contributing material.
Goterra – Food Waste Recycling
The food waste, finishing up in the landfills, contributes to the production of greenhouse gases. Therefore, startups develop food waste management and recycling robotic solutions to reduce associated methane production levels. The solutions increase the sustainability of the food industry and enable the use of food waste for creating new products.
Australian startup Goterra offers a modular waste management solution for food waste recycling. The startup applies robotic technology to enhance maggots’ food processing abilities, turning food waste into insect protein and frass. Additionally, the startup’s robotic technology allows for automation of the process, making it faster and more efficient.
mínus – Onsite Waste Management
The high segmentation and complexity of waste management increases its environmental toll and decreases the efficiency of recycling. Startups develop onsite waste management solutions that handle waste on-site or close by. Additionally, the application of robotics and AI to material handling processes allows for a faster sorting process.
Canadian startup mínus develops robotic solutions for onsite waste management. The startup applies AI, machine learning (ML), and IoT to develop recyclebots, hardware for efficient sorting and material processing. Additionally, mínus offers robotic conveyance and biomimicry solutions to waste management. The startup seeks to eliminate the need for transportation and handling, thereby reducing its environmental impact.
Ursa Robotics – Self-Driving Waste Collection Vehicles
Current waste and recycling collection techniques, which involve garbage trucks collecting waste from communal bins, pose an inconvenience to city traffic and emit greenhouse gasses (GHG). Startups develop electric and self-driving vehicle solutions to reduce the toll of waste transportation on the traffic and the environment. Autonomous vehicles increase the efficacy and flexibility of recycling and waste management processes.
British startup Ursa Robotics develops a self-driving electric vehicle for waste collection. The startup seeks to replace garbage truck collection with a flexible solution that produces no GHG emissions and operates during the night to avoid traffic. The Ursa Robotics’ solution increases recycling efficiency and decreases transportation costs.
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