London-based Greyparrot has closed a $27 million Series B, pushing its total funding to $60 million. The round was led by technology investor Omar Mir and arrives at an inflection point: Greyparrot's AI platform recently surpassed one trillion detected waste objects across its global network.
What Greyparrot Actually Does
Founded by Mikela Druckman, Ambarish Mitra, and Nikola Sivacki, Greyparrot builds AI-powered camera systems — called Analyzers — that sit above conveyor belts in recycling facilities and monitor waste streams in real time. The hardware feeds continuous data into software that helps operators identify materials, products, and brands as they move along sorting lines.
The practical outputs include:
- Improved material recovery rates
- Optimised sorting processes
- Automated regulatory compliance reporting
The company's Deepnest platform extends this capability to consumer brands, giving companies like Unilever, L'Oréal, and Kenvue visibility into how their packaging performs after disposal — critical data as Extended Producer Responsibility (EPR) regulations tighten across the EU and UK.
A Regulatory Milestone Worth Noting
In early 2026, the UK's Environment Agency accepted AI-generated waste composition data from Greyparrot for statutory compliance reporting — a first for the industry. That precedent matters enormously. Waste operators have historically relied on manual audits and sampling; having AI-generated data recognised by a national regulator legitimises the entire category and opens the door for similar acceptance in other jurisdictions.
Major waste management operators already using Greyparrot's technology include WM, Circular Services, Veolia, Biffa, and FCC.
The Bigger Vision: Waste as Measurable Infrastructure
"Waste intelligence will do for materials what satellite data did for navigation. For decades, waste has been a blind spot. Nations compete for resources while burying and burning existing resources. What's been missing is the ability to measure what they're losing. Once you can measure a material, you can trade it and invest in it. That is when the circular economy stops being an ambition and becomes infrastructure." — Ambarish Mitra, co-founder, Greyparrot
The analogy is instructive. GPS didn't just help people navigate — it unlocked entirely new industries built on location data. Greyparrot is making a similar argument: granular, real-time material data at scale could transform how commodities are valued, traded, and invested in.
"Waste is one of the planet's largest untapped resources, and data is the infrastructure that unlocks it. This funding lets us scale rapidly across North America and Europe and grow our AI, data science and product teams." — Mikela Druckman, co-founder and CEO, Greyparrot
What the Funding Unlocks
Greyparrot plans to deploy the Series B capital across three priorities:
- Geographic expansion across North America and Europe
- Team growth in AI, data science, and product
- Scale targets: recovering more than one million tonnes of waste by 2030
Implications for the Market
For founders and operators building in the sustainability or industrial AI space, Greyparrot's traction is a useful benchmark. The combination of hardware-embedded AI, SaaS-style data platforms, and regulatory tailwinds is proving a durable wedge into legacy industries resistant to software-only plays.
The EU's Packaging and Packaging Waste Regulation and expanding EPR schemes are creating structural demand for exactly the kind of third-party data infrastructure Greyparrot provides — not just from waste operators, but from the brands whose packaging ends up in those facilities. That dual-sided demand (operators and brand compliance teams) meaningfully broadens the addressable market beyond what a single-customer-type model would allow.
