Find out how global recovery facilities are sorting your packaging
Deepnest reveals how much of your packaging waste is recovered, missed, or lost and the impact of your packaging decisions on recyclability.
The world’s first AI-powered waste intelligence platform built for consumer packaged good brands and packaging teams.
Behind every data point is a real-world image — driven by facts, not assumptions.
Recycling plants are where the story begins: 150+ analyzers across 20+ countries gathering packaging waste data.
AI camera systems identify and classify waste at scale – over 40 billion items detected in 2024 alone, no packaging changes required...
Deepnest translates raw data into intuitive, customisable dashboards that track and benchmark products by brand or material.
Consult with waste data experts to turn complex data into clear, actionable insights.
Deepnest gives you the power to control the ending, ensuring your packaging’s journey leads to real-world impact and true sustainability.
Deepnest reveals how much of your packaging waste is recovered, missed, or lost and the impact of your packaging decisions on recyclability.
Deepnest scores your packaging based on its sortability. This score shows you where you stand compared to competitors and category standards, and what to prioritise next.
Since 2019, we've been capturing waste data and interpreting it to drive real-world impact. Our expert team of analysts brings years of hands-on experience working with waste managers, extracting meaningful insights from complex waste streams.
Deepnest insights make it simpler to align packaging strategies with evolving recyclability standards like EPR and PPWR. Concrete data helps balance conflicting priorities such as LCAs, emissions, consumer demands, brand identity and regulatory requirements.
For too long, brands have operated without clear visibility into the end-of-life of their packaging. Deepnest changes that by creating a shared language of data and facts – at a scale never seen before.
Co-Founder of Greyparrot
AI-enabled waste intelligence tools have great potential to provide new visibility into how packaging is actually being sorted... to inform future packaging design, enable recyclability in practice and at scale, and increase the supply of high-quality recycled materials.
Global R&D Head of Deodorants at Unilever
Deepnest can transform waste data into insights to guide smarter packaging design from the outset. We’re exploring how this technology can help us embed a data-driven approach across the entire packaging lifecycle, moving us closer to 100% circular packaging.
Chief Supply Chain Officer at Asahi Beverages
The packaging industry relies on lab scale testing, software models to predict recyclability of packaging solutions, but actual real-life data is missing, given the huge resources it would take to get that data at scale. Deepnest is unlocking real-world recyclability data that the packaging data chain has been missing.
Circular Economy Director at Amcor
With the expansion of extended producer responsibility (EPR) policies, solutions like this can support teams in aligning internal goals with external requirements. It's a timely and practical tool for companies navigating new packaging rules and expectations.
Director - Development & Strategic Initiatives at U.S. Plastics Pact (formerly of Danone)
The clarity of data that Deepnest brings will be invaluable for brands who can track material movement post-consumer. It shines a bright light into an uncharted area offering valuable commercial insights for brands across materials and product types, and geographical regions.
Director Insights and Innovation, at global environmental NGO, WRAP
Brands and retailers have been working hard for years to design packaging that they think is recyclable. This kind of insight is a game-changer for brands, retailers, converters, and anyone who designs packaging.
Partner at SYSTEMIQ