Recycling / circular

Recycleye

48Mixed / Improving

London, United KingdomFounded 20190 followers

recycleye.com

Deploys AI-vision robotic picking systems in materials recovery facilities to automate waste sorting, improving purity and recovery rates for recyclable streams.

Green Score

48/100
Mixed / Improving
Greenwashing risk
medium
Data confidence
medium
Method
how it is calculated
Climate Impact & Solution35%68

Does the core business genuinely avoid or reduce emissions, or build climate resilience? Share of revenue that is actually 'green'. Fossil-dependent models score low.

Recycleye's technology demonstrably increases recycled material purity (up to 99%) and recovery volumes (target material picked up 10–12% per site), diverting recyclables from landfill/EfW and reducing demand for virgin materials — a real but indirect and unquantified emissions-avoidance contribution; no independently verified tonne-CO2e figures are published.

Decarbonization & Targets20%12

Credible, science-based targets (SBTi), a real net-zero plan with progress to date, and CDP disclosure — not just a dated press release.

No SBTi commitment, no CDP disclosure, no published net-zero pathway, and no science-based near-term or long-term emission reduction targets have been found in any public source; the company's only sustainability-adjacent public mention is a feature in the Microsoft Sustainability Report, which reflects a customer relationship rather than Recycleye's own commitments.

ESG & Operations15%40

Operational footprint, labour and social practices, and governance quality across the company's own operations and supply chain.

Recycleye's robots are explicitly designed to operate alongside human workers rather than wholesale replacement, and case studies reference retention of 100+ employees at partner facilities, which is a modest positive on labour; however, no published diversity data, supply-chain audit, worker safety record, or governance disclosure (board composition, ownership structure) is publicly available for a company of this stage.

Transparency & Verification15%22

Quality of disclosure, independent third-party verification, and how much hard data backs the company's claims.

Recycleye publishes operational performance metrics (pick rates, items sorted, cartons recovered) on its website and via trade press, providing a credible baseline of deployment activity, but no audited sustainability report, no Scope 1/2/3 emissions inventory, no third-party verification of impact claims, and no lifecycle assessment has been published, leaving the environmental benefit case substantially unverified.

Integrity15%82

Controversies, litigation, pollution, fossil-fuel lobbying, conflict-zone involvement and governance scandals. Higher means cleaner.

No material controversies, litigation, regulatory sanctions, greenwashing enforcement actions, fossil-fuel lobbying connections, or governance scandals have been identified across all public sources reviewed; the company appears to be a clean-record early-stage UK tech firm.

Why it's on ClimateTicker

Recycleye builds and deploys AI-vision robotic picking systems in materials recovery facilities (MRFs) across Europe and the US, improving the purity and recovery rates of recyclable streams — a genuine upstream enabler of the circular economy that reduces the volume of recyclable material lost to landfill or energy-from-waste. The core technology addresses a real structural bottleneck in recycling infrastructure, and operating data (e.g. 199 million items picked in 2024, 13 million cartons recovered, pick rates up from 45 to 62/min) provides credible proof of throughput impact. However, Recycleye publishes no standalone sustainability report, no SBTi-validated targets, no CDP disclosure, and no independently verified lifecycle emissions data for its own operations or the avoided-emissions attributable to its deployments, limiting investor-grade verification of claimed climate benefits.

enablerRecycleye sells and installs AI computer-vision hardware (Recycleye Vision camera systems) and robotic picking units (Recycleye QualiBot/Robotics, co-developed with FANUC) to MRF operators on a capital-purchase or subscription/SaaS basis, with ongoing data analytics provided via the Recycleye Trend dashboard; revenue is therefore a mix of hardware sales, deployment services, and recurring software/data fees.

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