Summary

• Greyparrot has raised $27m in Series B funding to expand its AI waste intelligence platform.
• Its camera systems are used in recycling facilities across more than 20 countries and have detected more than one trillion waste objects.
• The company’s growth reflects rising demand for auditable waste, packaging, and circular economy data.

Greyparrot has raised $27m in Series B funding to expand its AI waste intelligence platform, as recycling operators, packaging companies, and regulators demand better data on what happens to materials after disposal.

The London company said the round was led by technology investor Omar Mir and brings new capital to scale its Analyzer network across North America and Europe. Greyparrot’s AI has now detected more than one trillion waste objects, and the company aims to use the funding to help abate more than one million tonnes of waste by 2030.

Greyparrot’s systems are installed above sorting belts in recycling facilities, where cameras and AI models identify materials, products, and brands in real time. The company says its technology is used across more than 20 countries by waste and recycling companies including WM, Circular Services, Veolia, Biffa, and FCC. Brands including Unilever, L’Oréal, and Kenvue also use its Deepnest platform to understand packaging performance after disposal.

The business case is grounded in a persistent infrastructure weakness. Waste management has long suffered from poor visibility. Manual sampling is intermittent, local conditions vary, and many material flows are poorly understood once products leave households, businesses, and industrial sites. Operators, packaging producers, investors, and policymakers are often making decisions on incomplete evidence.

Greyparrot’s pitch is that continuous waste data can improve recovery rates, support compliance reporting, inform packaging redesign, and make secondary materials easier to value. The company says facilities using its real time AI data have reported efficiency gains of 10% to 30%, with one site saving more than £1.5m in a year.

The regulatory context strengthens the market. Extended Producer Responsibility schemes, the EU Packaging and Packaging Waste Regulation, and national reporting requirements are forcing producers and waste operators to provide better evidence about recyclability, recovery, and material composition. In the UK, Greyparrot says the Environment Agency accepted AI derived waste composition data for statutory compliance reporting in Q1 2026, in submissions from customers Biffa and FCC.

That level of evidence gives the company a stronger case than climate technology built mainly on broad sustainability claims. Waste intelligence has a clear route into operations. Operators can use data to adjust sorting processes, identify contamination, improve yield, and decide where investment in machinery or contracts is justified. Packaging companies can see how designs behave in real facilities rather than relying only on theoretical recyclability.

The circular economy also depends on markets. Recovered materials need consistent quality and reliable information if they are to be traded, financed, and used in manufacturing at greater scale. If secondary materials remain poorly measured, they will struggle to compete with virgin materials on trust, availability, and price predictability. AI enabled waste data could therefore become part of the infrastructure that allows recycling to operate as a more mature industrial market.

Better data may also reveal weaknesses in existing systems. More accurate measurement can expose lower recovery, persistent contamination, or packaging designs that fail in practice. That may create friction for brands and local authorities, but a circular economy built on weak measurement will produce weak outcomes.

Greyparrot’s funding shows investor appetite for climate technology where AI is tied to industrial operations. Waste is physical, messy, and local, but it is also increasingly data dependent. Companies that can measure it continuously may help decide whether recycling moves from compliance obligation to investable infrastructure.