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Greyparrot Analyzer

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About

Greyparrot is a company that uses AI to improve recycling efficiency and decrease the environmental impact of waste. Their main product, Greyparrot Analyzer, is an AI waste analytics platform that uses cameras to track materials on conveyor belts in recovery facilities. The AI identifies different types of waste, providing real-time insights on a live dashboard. Greyparrot also offers Sync, an integration system that connects the AI to third-party machinery and software. They work with various companies in the waste management industry and have received multiple awards for their innovation. The company's goal is to help recycling facility managers and producers recycle more and waste less, by providing comprehensive AI waste analytics to automate sorting facilities and increase transparency across the global value chain.

Platform
Web
Keywords
airecyclingwaste managementwaste analytics
Task
waste analysis

Features

real-time data analysis

customizable reports

integration with existing software

weight estimation

live dashboards

ai-powered waste analytics

waste object recognition (89 categories)

FAQs

Which facilities can use Greyparrot Analyzer?

Greyparrot Analyzer gathers data on waste passing over conveyor belts in materials recovery facilities (MRFs) and plastics recovery facilities (PRFs). We don’t currently support installations for collections vehicles or smart bins. _Learn more about our solutions for recovery facilities [here](https://www.greyparrot.ai/solutions/mrf)._

Do Analyzer units need to be installed over conveyor belts?

Yes. Analyzer units are designed be deployed over conveyor belts. Some of our partners have integrated Analyzer data into in their own machinery using Sync. _Learn more about Sync [here](https://www.greyparrot.ai/products/sync)._

What kinds of waste can Analyzer recognise?

Analyzer can currently identify 89 different kinds of solid municipal waste, with categories for hard and flexible plastics, fibre, metal, waste electronics and composite packaging. Our taxonomy is designed to work for a wide variety of use cases but we're looking to further expand into other domains. If you have any questions about our recognition library — or want to request that we add a new material — please reach out [here](https://www.greyparrot.ai/contact). _See everything that Analyzer can recognise [here](https://www.greyparrot.ai/how-it-works#:~:text=What%20our%20AI%20can%20recognise)._

Does Greyparrot sell robotics?

We don’t produce smart robotics. Instead, Greyparrot Sync integrations seamlessly connect real-time waste data to new and existing machinery and software, regardless of their brand. _Learn more about integrations [here](https://www.greyparrot.ai/products/sync)._

What is AI waste analytics?

AI waste analytics uses artificial intelligence to analyse waste streams in real-time. Cameras capture images of materials on conveyor belts, and AI waste analytics systems like Greyparrot Analyzer identify the materials. That real-time data is then displayed on live dashboards, accessed via a web portal. _Learn how it works [here](https://www.greyparrot.ai/how-it-works)._

What is waste intelligence?

Waste intelligence is the actionable insight that facility managers extract from Analyzer’s detailed waste data. Waste intelligence insights enable facility managers to adapt as material flows and market conditions shift, operating leaner and more efficient recovery facilities. _Learn more about waste intelligence [here](https://www.greyparrot.ai/resource-hub/blog/what-is-waste-intelligence)._

How does Analyzer calculate an object’s weight?

The method our AI uses to predict a waste object’s weight depends on the the object’s waste class: For item-based waste classes (e.g. aluminium cans), our AI multiplies the number of items detected by the average mass of those items. If the average can arriving at the facility weights 15 grams and Analyzer spots 10 cans, the total mass of those cans in the waste stream will be 150 grams. For area-based waste classes (e.g. metallised film) our AI identifies the area of the material, then multiplies it by the average mass-per-area of that waste class. That average varies from facility to facility, so we establish them at the setup and calibration stage. _Learn more about how our AI waste analytics system works [here](https://www.greyparrot.ai/how-it-works)._

What happens if an object doesn’t fit into one of Analyzer’s recognition categories?

Waste objects that don’t fit into any of our current classes are organised into one of our general material categories. You can still generate reports on these items in the same way you would any other class. Currently, our generalised classes are: * Plastic Other * Metal Other * Paper Other * Gen Waste _See everything that Analyzer can recognise [here](https://www.greyparrot.ai/how-it-works#:~:text=What%20our%20AI%20can%20recognise)._

What is the maximum throughput rate I can run with Analyzer?

Analyzer isn’t limited by throughput rates. Instead, our system’s performance depends on how visible your material is. When there are multiple layers of waste on a conveyor belt, our cameras won’t be able to see all of your material — though our calibration process enables it to make accurate estimations about composition.

What is the smallest particle size Analyzer can recognise?

Our AI can identify any object that is large enough to be identified with the human eye. Any item too small to identify will be considered “fine material”, which generally includes objects smaller than 30mm.

Can Analyzer identify food-grade and non food-grade material?

Yes. Our AI uses visual features to identify the function of waste objects (e.g. a plastic yoghurt bottle) and accurately determine whether it is food-grade or non-food grade.

What can I do with Analyzer data?

Our customers use Greyparrot Analyzer data to actively monitor facility performance, optimise infeed blends, adjust throughput rates, track product quality, reduce the value they lose to residue lines, and more. Every facility has its own unique application for Analyzer data. As an AI partner, we help our customers identify the best use-cases for our system with our dedicated customer success and data teams. _Learn how some of our customers use Analyzer data [here](/resource-hub/case-studies-and-guides)._

How do I access Analyzer data?

The Analyzer portal is accessible from any device with an internet connection and a screen. It features live dashboards that translate raw data into actionable insights, surfacing key performance indicators like sorting efficiency and the value being lost to residue lines. Analyzer data can also be exported in customisable .CSV reports, or integrated with existing business intelligence software like PowerBI or Tableau.

Can I use Analyzer data to power my existing machinery and software?

Greyparrot Analyzer is hardware- and software-agnostic. That means we can share our data with any compatible tool, regardless of brand. So far, examples have included robotic sorting arms, near-infrared sorters, facility management software, and more. _Learn more about Sync integrations [here](https://www.greyparrot.ai/products/sync)._

Is Analyzer data stored securely?

Yes. Our data security is covered by ISO27001 certification, and we also hold the UK’s Cyber Essentials certification. Learn more about how we protect our customers' and partners' data [here](/data-security).

Job Opportunities

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Greyparrot Analyzer

Growth Marketing Manager, Maternity Cover Marketing

Greyparrot Analyzer is an AI-powered waste analytics platform that helps recycling facilities and packaging companies improve efficiency and reduce waste by providing real-time data and insights.

marketinghybridLondon, GBcontract

Benefits:

  • Hybrid work

  • Equity in Greyparrot

  • Enhanced parental leave

  • Mental health support

  • Training & development

Education Requirements:

  • Bachelor's degree or above in a related field

Experience Requirements:

  • 3+ years of demonstrable experience in a B2B marketing role in a startup environment with a strong focus in growth marketing and lead generation

  • Experience with executing successful multi-channel lead generation campaigns

  • Planning and executing trade shows successfully

  • Experience in managing freelancers and junior marketers or interns

  • Excellent communication and interpersonal skills with a natural ability to build new relationships

Other Requirements:

  • Ability to start in January 2026

  • Experience in waste management, climate tech, or sustainability is a plus

  • Additional European languages are a plus

Responsibilities:

  • Execute on the comprehensive demand generation strategy

  • Collaborate with cross-functional teams

  • Establish and maintain a comprehensive understanding of market trends

  • Manage a team of freelancers and interns

  • Measure and analyze performance to optimize marketing programs

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