Greyparrot - AI Waste Analytics System

The insight you’ve always wanted lives on the dashboard. We built it to help you make data-driven decisions, no matter your experience with tech.

Flexible parameters
Access real-time and historical data analysis at a minute-by-minute level.

Custom alerts
Receive automated notifications based on custom triggers like quality drops.

Mass estimation
Measure and track the size of waste streams by item count or mass.

Integrations
Manage integrations with plant control systems and sorting machinery, right from the dashboard.

Reports and exports
Generate daily, weekly, monthly or yearly reports, and export data to run further analysis.

Customisable
Tailor your dashboard to surface the insights you need most.

AI Monitoring Unit
Our robust monitoring unit analyses 100% of waste, providing you with live composition data at scale. We designed it to be retrofitted without disrupting your current infrastructure.

AI Model
Our integrated AI model characterises objects automatically and in real time – with an error rate of less than 1%.  

Waste Analytics Dashboard
Your waste analytics dashboard is completely customisable. It displays live composition data and insights to inform your decision-making from the control room.

AI Vision Integration
Our AI Vision Integration can link actionable insights with third-party systems through an open API. Enhance existing software and sorting machinery with machine learning cognition.

1 Product recognition
Reliable recognition of packaging type, including food vs. non-food grade items.

2 Material recognition
Accurate identification of over 89 materials, including the black plastics and mixed material packaging (e.g sleeved bottles) that confuse current NIR systems.

3 Brand recognition
The ability to recognise packaging by brand and SKU (stock keeping unit) e.g. diet_coke_300ml.