Circuion Raises $47M Series B to Scale AI-Powered E-Waste Sorting
Amsterdam-based Circuion closed a $47M Series B to expand its AI vision systems for electronic waste sorting, targeting 50,000 MT annual processing capacity across new EU and Southeast Asian facilities.
Amsterdam, March 10, 2026 — Circuion, the AI-powered e-waste sorting platform, announced today that it has closed a $47 million Series B round led by WasteVC, with participation from Circularity Capital and EQT Ventures.
Deal Details
The funding will accelerate Circuion's expansion into three new processing facilities:
| Detail | Value |
|---|---|
| Round Size | $47M |
| Stage | Series B |
| Lead Investor | WasteVC |
| Post-Money Valuation | ~$200M |
| Use of Funds | 3 new facilities (EU & SEA) |
| Target Capacity | 50,000 MT/year by 2027 |
Why This Deal Matters
Electronic waste is the fastest-growing waste stream globally, with 62 million metric tons generated in 2024—and only 22% formally recycled. The rest is landfilled, incinerated, or processed informally in developing countries under hazardous conditions.
Circuion's proprietary computer vision system identifies and sorts over 400 categories of electronic components, achieving a 99.2% sorting accuracy that enables downstream recovery of precious metals including gold, palladium, platinum, and rare earth elements.
Key Metrics
- Current processing: 12,000 MT/year across 2 facilities
- Precious metals recovered: $8.2M in 2025
- Revenue growth: 220% YoY
- Sorting accuracy: 99.2% (vs. ~85% industry average for manual sorting)
Market Context
The global e-waste recycling market is projected to reach $78 billion by 2030, driven by regulatory pressure (EU WEEE Directive tightening), rising commodity prices, and growing corporate ESG commitments. Circuion's AI-first approach gives it a significant cost and quality advantage over traditional manual sorting operations.
"The e-waste problem is only getting worse as electronics adoption accelerates globally," said Maren Kessler, Circuion co-founder and CEO. "Our AI systems can process waste streams that are simply too complex and variable for manual sorting to handle efficiently."