
Waste recognition software to monitor, audit & sort waste at scale
Greyparrot automates the measurement of waste streams using AI-powered computer vision software. Real-time analysis on 100% of waste flows is helping waste managers save cost, increase revenue and mitigate against risks.


Waste management is facing mounting pressure to reinvent
Recycling is necessary to conserve important raw materials and protect our environment. The current low global recycling rate of 14% is partly due to a process that relies heavily on manual labour. The system faces a trade‐off between economic viability and recycling rates. Yet, there is an ever-growing demand from consumers, brands, governments and waste managers to transition to a more circular economy. This provides an urgent need and opportunity to optimise waste management with further digitisation and automation.




Greyparrot Solution
Our goal is to empower all stakeholders in the waste management process with actionable insights to increase recycling and recovery rates. Our end-to-end solution is currently deployed on moving conveyor belts in sorting and recovery facilities to measure large waste flows. Greyparrot provides waste analytics to automate the current manual auditing process and provide new insights previously unavailable to waste managers, producers and regulators.


AUDIT
Scalable audits and sampling


QUALITY GUARANTEE
Purity level per bale of recycled material


OPTIMISE PROCESS
Accurate specifications to inform operations


MITIGATE RISK
Spot hazardous materials and contaminants



MONITORING UNIT
Robust, portable vision system with camera, processing unit and lighting that can be retrofitted into existing environments


AI VISION
Deep-learning based computer vision models that can identify and characterise a broad range of materials


Data analytics
Display and export real-time detection results in a live dashboard for insights


Greyparrot Software
Greyparrot software can be integrated and embedded into a range of smart systems and hardware including smart bins, smart trucks and sorting robotics


hardware AGNOSTIC
Integration with existing or new systems


FLEXIBLE
Can be used across different environments for a variety of use cases


COMPLEX DETECTION
Leveraging deep learning (AI) techniques for accurate detection


SCALABLE
Afforable hardware for large scale deployment


FULLY AUTOMATED
100% of waste stream can be measured


REAL-TIME
Instant analysis to inform immediate action
Our Vision
To create a world where waste is treated as a resource. It is monitored, captured and reused in the most effective way. We are committed to unlocking the financial value of waste, which will, in turn, support our transition to a circular economy and keep our environment clean for generations to come
“AI-enabled machine vision is needed to detect materials that current machineries cannot. This software gives us data insights to maximise our material recovery”
“AI, robotics and other innovative technologies in the waste industry will be key to ensure the transition to a low-carbon, circular economy.”
Our Partners
Greyparrot is a member of key industry bodies within waste management and has strong partnerships with top universities. We are supported by world-leading accelerators
























The Team
UK-based team with strong expertise in applied AI computer vision solutions. Our team is passionate about using technology to create positive environmental and social impact
mikela druckman
Co-founder & CEO
Nikola Sivacki
Co-founder & Senior Engineer
Dr. Marco Paladini
Co-founder & Senior Engineer
Ambarish Mitra
Co-founder
Jochen Alt
CTO
Susana Zoghbi
Deep Learning Engineer
Alisa Pritchard
Marketing & Operations
Tomáš Sixta
Deep Learning Engineer
Konstantin Shmelkov
Snr. Deep Learning Engineer