Company: Greyparrot
Co-Founders: Mikela Druckman, Ambarish Mitra, Nikola Sivacki
Website: https://www.greyparrot.ai/
About Greyparrot
Greyparrot was founded in 2019 by Mikela Druckman (TechRound 50 Women In Startups and Tech 2026), Ambarish Mitra and Nikola Sivacki. We build computer vision AI systems that give recyclers, brands and regulators the data needed to use and recover resources more efficiently.
Our products, Analyzer and Deepnest, provide visibility into global waste flows.
Greyparrot Analyzer is an AI waste analytics system that was named a TIME Best Invention of 2025, and a Fast Company World Changing Idea.
Combining computer vision with AI waste recognition, Analyzer identifies waste objects passing through materials recovery facilities (MRFs) in real-time. It displays live data on dashboards accessible from any device.
In 2025, more than 200 Analyzer units identified 52 billion waste objects in 65+ facilities, across 20+ countries. We have created one of the largest and most detailed waste datasets in the process.
Facilities use that data to increase profitability amid rising operational costs and competition from low-cost virgin plastic imports, making Analyzer a vital tool for a financially-viable circular transition. GreenTech – one of the largest PET recyclers in Europe – used our AI to increase revenue by 10%, for example.
In another facility, Analyzer revealed more than $2.1 million of valuable material being lost to landfills. That represents more than a financial opportunity cost; it is an environmental liability. Waste emissions represent around 3.4% of global greenhouse gases each year.
Strategic partnerships with Bollegraaf and Van Dyk Recycling Solutions (some of the largest plant builders in the world) mean that the next generation of facilities are being shaped around our technology.
Deepnest is our platform for brands and retailers. It tracks the recoverability of specific products and packaging formats in recovery facilities, leveraging Analyzer data to identify branded objects.
Deepnest delivers design recommendations – like tweaking product shape, material, or colour – to ensure packaging gets recycled.
Brands like Unilever, L’Oréal, Mondelez, Amcor and Asahi Group use it to avoid trial-and-error packaging R&D, accelerate decision-making, and avoid formats that fail in real-world recycling systems. Our impact has scaled rapidly: Unilever alone sells products in 190 countries, with 3.4 billion people using their products each day.
The platform was launched to coincide with a paradigm shift in packaging regulation. Policies like EPR and the EU’s PPWR scheme will cost consumer packaged goods brands an estimated $100 billion+/year by 2040. Brands need waste data to audit and improve their packaging, and Deepnest is the first platform to provide it.
Regulators also need data to enforce regulation. That burden falls to the waste sector, which is expected to gather more data on material each year. Manual waste sampling is expensive and difficult to scale in the face of a waste labour shortage, which makes AI-automated monitoring a business-critical choice for recovery facilities.
We recently announced successful pilot programs at two UK facilities (Biffa and FCC), automating the data gathering process for Environment Agency reporting after the UK government announced they would accept data gathered with AI.
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