$27m · Series B · AI · London, UK
Greyparrot co-founders. Image: Greyparrot.
London-based Greyparrot has raised a $27m Series B led by technology investor Omar Mir. The company says the financing will support expansion across North America and Europe and growth in its AI, data science and product teams. Its stated goal is to scale a waste-intelligence platform that measures material flows for recyclers, brands and regulators.
Waste data becomes an operating layer
Greyparrot's Analyzer units sit above conveyor belts in recycling facilities and use computer vision to identify materials, products and brands as waste moves through a plant. The accompanying software turns those observations into live measures of composition, purity, throughput and equipment performance. That replaces occasional manual samples with a continuous view operators can use to adjust sorting lines, investigate contamination and document material quality.
The commercial proposition is broader than selling a camera. Once several belts and facilities report into the same data layer, a recycler can compare shifts, sites and equipment using consistent measurements. Greyparrot can then expand from a hardware-enabled licence into workflow, compliance and performance tools without asking customers to replace the machinery that physically sorts waste. That lowers deployment friction, but it also makes data accuracy and integration with varied plant configurations central to renewal and expansion.
Scale now has to produce repeatable economics
Greyparrot says more than 300 Analyzer units operate across over 20 countries and that its network has passed one trillion waste detections. It names WM, Circular Services, Veolia, Biffa and FCC among users. The company reports facility efficiency gains of 10% to 30%, with one site saving more than £1.5m in a year; these are company-provided outcomes rather than independently audited benchmarks, but they indicate the financial case the new capital is meant to reproduce.
The same dataset supports a second route to market. Greyparrot says consumer-goods companies including Unilever, L'Oréal and Kenvue use its Deepnest platform to understand how packaging performs after disposal and to inform redesign and exposure to extended-producer-responsibility rules. That connects plant-floor measurements to decisions made by brands and regulators, increasing the value of a shared waste dataset if the company can keep classifications consistent across locations and customers.
Greyparrot was founded in 2019 and previously raised an $11m Series A in 2022. The Series B therefore finances international scale after early deployment rather than the first commercial version of the product. The execution test is whether a growing installed base can produce comparable, trusted operating results across different waste streams and facilities while supporting a software and data layer that expands faster than bespoke installation work.
