Greyparrot

Separate material even more efficiently with by enhancing robotic sorting arms with the most flexible and reliable AI waste analytics tools available.

The company’s waste analytics system provides a live stream of data on material passing through facilities to support recovery.

Deepnest is a packaging waste intelligence platform that turns waste data into insights to help brands design more recyclable products.

Events

The company publishes blogs about the waste management industry and modern AI technology.

Case Studies

The company’s AI waste intelligence guides show how facilities use its waste intelligence to improve sorting efficiency and product quality.

Dive into Greyparrot's currated industry news on all things AI for waste, recycling, waste analytics, composition data, EPR.

Greyparrot raises $1.1M from 360 Capital to revolutionize waste management with AI, enhancing recycling and efficiency with A2A and Plug and Play Italy.

The company seeks people passionate about green technology to help address environmental challenges presented by the waste crisis.

Greyparrot’s partners across the resource and waste ecosystem use its data to manage resources more sustainably.

The company aims to put waste intelligence in the hands of people who recover, redesign, and regulate discarded objects.

The company offers waste analytics for facilities and demonstrations of its technology.

The company’s engineers and data analysts work with businesses to translate raw data into actions that improve facility performance.

The waste analytics platform helping recovery facilities and packaging producers to embrace waste intelligence, and recover more resources.

The company uses trackers to enhance user experience, measure traffic, and deliver personalized marketing content.

Greyparrot Analyzer meets internationally recognized security standards such as ISO27001 and gives users control over access to their data.

The page describes how data is collected and processed on www.greyparrot.ai, including the types of data collected, why it is used, and how data security is addressed.