Company: Greyparrot
CEO, Co-Founder, Head of Deep Learning: Mikela Druckman, Ambarish Mitra, Nikola Sivacki
Website: https://www.greyparrot.ai
About Greyparrot
Founded in 2019, Greyparrot developed AI waste analytics to shine a light on the valuable materials in our waste streams for the first time. Previously, the average material recovery facility (where waste is sorted for recycling, or sent to landfill) was only able to measure 1% of its material thanks to outdated manual analysis, and a growing waste labour shortage.
With Greyparrot Analyser, its computer vision-powered system, Greyparrot has automated waste analysis and revealed the makeup of the remaining 99% of material. Greyparrot Analyser includes a camera-enabled monitoring unit and a data dashboard portal. These tools provide real-time insights into waste stream composition and facility performance, enabling operators to increase recycling rates, reduce resource loss, and minimise environmental impact. Tracking waste material with the Analyser system identifies waste material is around 630X cheaper than manual analysis.
For example, a U.S.-based facility used Analyser data to monitor the impact of newly purchased sorting machinery, revealing a purity drop from 93% to 80%. This purity loss cost the facility $1,000 per day—totaling $308,000 annually. Analyser data enabled the manager to request crucial machinery recalibration, reversing the loss. Similarly, a UK facility identified $2.1 million worth of valuable material being lost to landfill each year. Profitable resource recovery is essential in the effort to build a more circular economy.
In 2024, Greyparrot installations in over 20 countries detected more than 40 billion waste objects, and diverted over 125,000 tonnes of recyclable material back into the circular economy, preventing these materials from emitting harmful greenhouse gases in landfills, incinerators, or the natural environment. With waste currently responsible for 3.4% of global greenhouse gas emissions, Greyparrot’s impact is both urgent and profound.
The impact of Greyparrot data is not limited to sorting facilities. Because waste data was previously impossible to capture at scale, it also prevented brands and regulators from tracking the true post-consumption journey of packaged goods. Greyparrot AI is unique in its ability to detect the brand and stock-keeping unit of waste objects. The company has used that capability to help some of the largest consumer goods brands, materials science companies and packaging producers assess the performance of their products in recovery facilities, and make data-driven improvements to recyclable packaging design. With the spread of extended producer responsibility (EPR) across the UK and USA, EU PPWR legislation, plastic packaging taxes, consumer pressure and brand sustainability commitments, recyclability is no longer just an environmental metric – it is a key financial performance indicator.
Greyparrot has built some of the world’s largest and most detailed packaging waste datasets, and is leveraging them to ensure packaging is recyclable by design. That change at the top of the value chain creates a positive feedback loop: more recyclable packaging is easier to sort and recycle, enabling the waste sector to return a steadier stream of recycled content to the circular economy that can profitably compete with environmentally-harmful virgin materials.
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