
Greyparrot [greyparrot.ai], the leader in AI waste analytics, is applying AI to globally scale recycling and save millions of tonnes of waste from landfills and incinerators. By providing deeper,…

Greyparrot [greyparrot.ai], the leader in AI waste analytics, is applying AI to globally scale recycling and save millions of tonnes of waste from landfills and incinerators. By providing deeper,…
Sector: AI waste analytics / recycling software
Headquarters (reported): London, UK
Founded: 2019
Flagship products: Greyparrot Analyzer; Greyparrot Sync
Notable funding: $12.8M strategic investment from Bollegraaf (Feb 2024); prior seed (~$2.2M) and Series A (~$11M)
Improving resource recovery and recycling efficiency through automated waste identification and analytics.
2019
Software Development
£1.825M (~$2.2M)
Seed round reported May 2020 to scale AI for waste management.
$11M (reported)
Series A reported in 2022.
$12.8M (total value: 50% cash, 50% value assigned to transferred AI business unit)
Bollegraaf transferred its AI vision business to Greyparrot and took a non-controlling stake.
“Has both traditional VC backers (e.g., Speedinvest, climate/circular-economy funds) and strategic corporate investor (Bollegraaf)”
About Greyparrot
The world is in a waste crisis. Currently we produce 2.1 billion tons of solid waste per year. Data collection of the waste we produce is non-existent, meaning no systematic transparency and no accountability. It means that recycling targets are not upheld, dumping of waste into our oceans remains nobody's responsibility, recyclables get sent to landfill or incineration, and producers get away with sub-standard packaging. Thus, recycling rates stubbornly remain at 10% and, unless we change, by 2040 the plastic stock in the ocean will have quadrupled - a problem that already costs society $1.5 trillion each year.
Our mission is to increase transparency and automation in waste management to accelerate the circular economy. Currently, our camera system and AI software are deployed in recycling plants and waste facilities around the world to measure material flows and provide waste analytics. We have compiled a team of experts to deploy our technology and we’re looking to expand our team.
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The Team & Environment
Our Tech Stack
We leverage a modern, type-safe stack to ensure scalability and performance. Our frontend is built with React, while the backend runs on Express, with TypeScript used across our entire codebase. For cloud and infrastructure, we are fully hosted on AWS, utilising services like RDS, Lambda, and Docker. Data visualisation is handled through D3.js, recharts, and MUI Data Grid, enabling us to work with large volumes of ML data. We use GitLab for version control and CI/CD, and Figma for design collaboration.
Core responsibilities
You will play a key role in rebuilding the user interface to support newly identified user groups. This includes a new facility level overview for a quick glance and also a section for power users that really want to drill down into their data. Those are just two examples of current projects.
A day in the life
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Requirements
Nice-to-have extras
If they apply to your environment, these are attractive but not essential: