Tsinghua AI Ore Sorter Raises $28M Series C

Post LinkedIn

🔥Read original on 36氪

#ai-hardware#industrial-ai#computer-vision #fundingai-ore-sorting-machinehoristtsinghuazijin-mining

💡$28M fund for AI ore sorters revolutionizing mining efficiency sans water

⚡ 30-Second TL;DR

What Changed

Raised ~200M RMB Series C led by招商局資本 with multiple VCs.

Why It Matters

This funding boosts AI in mining, promoting sustainable dry sorting amid 'dual carbon' goals, potentially expanding to new industries.

What To Do Next

Prototype X-ray + AI vision pipelines using PyTorch for industrial object sorting.

Who should care:Founders & Product Leaders

Key Points

•Raised ~200M RMB Series C led by招商局資本 with multiple VCs.
•Self-developed X-ray detectors and AI algorithms enable dry sorting across ferrous/non-ferrous minerals.
•99.9% separation accuracy, serves Zijin Mining and exports to Brazil/Indonesia.
•Annual shipments >100 units, 40%+ CAGR, payback <1 year.

🧠 Deep Insight

AI-generated analysis for this event — not the original article.

🔑 Enhanced Key Takeaways

•Horist Technology's core technology utilizes dual-energy X-ray transmission (DEXRT) combined with high-speed pneumatic ejection systems, allowing for real-time mineral identification at belt speeds exceeding 3 meters per second.
•The company has successfully integrated its sorting solutions into 'smart mine' digital twin platforms, enabling remote monitoring and predictive maintenance for mining operators in remote regions.
•Beyond traditional mining, Horist is actively piloting its AI-driven sorting technology for industrial solid waste recycling and construction debris separation to diversify its revenue streams beyond the cyclical mining sector.

📊 Competitor Analysis▸ Show

Feature	Horist Technology	TOMRA Sorting Mining	Steinert
Core Tech	AI + Dual-Energy X-Ray	Sensor-Based Sorting (XRT/NIR)	X-Ray Transmission (XRT)
Market Focus	Emerging Markets/China	Global/Premium	Global/Premium
Pricing	Competitive/Cost-effective	High-end	High-end
Key Benchmark	99.9% Accuracy	High throughput/Reliability	High throughput/Durability

🛠️ Technical Deep Dive

Sensor Fusion: Combines high-resolution X-ray transmission (XRT) sensors with visible light cameras for multi-modal data acquisition.
AI Architecture: Utilizes proprietary convolutional neural networks (CNNs) optimized for edge computing on NVIDIA Jetson or similar industrial-grade embedded platforms to minimize latency.
Ejection System: Employs high-frequency, low-latency pneumatic valve arrays capable of millisecond-level response times to ensure precise separation of ore particles.
Material Handling: Features modular belt designs with vibration-dampening mechanisms to maintain stable particle distribution for consistent sensor readings.

🔮 Future ImplicationsAI analysis grounded in cited sources

Horist will achieve a dominant market share in the Southeast Asian mineral processing sector by 2027.

The company's existing footprint in Indonesia and its cost-competitive advantage over Western incumbents position it to capture the rapid growth in regional nickel and copper mining.

The company will pivot toward a 'Sorting-as-a-Service' (SaaS) business model.

Transitioning from hardware sales to performance-based contracts will provide recurring revenue and mitigate the volatility of the mining equipment capital expenditure cycle.

⏳ Timeline

2018-05

Beijing Horist Technology founded by Tsinghua University alumni.

2021-09

Completed Series A funding round to accelerate R&D of AI sorting algorithms.

2023-06

Achieved significant market penetration with major deployments at Zijin Mining sites.

2024-11

Expanded international operations with first major export contracts to Brazil and Indonesia.

2026-04

Closed 200M RMB Series C funding led by China Merchants Capital.

🔥Read original article on 36氪

📰

Weekly AI Recap

Read this week's curated digest of top AI events →

👉Related Updates

Same topic

Explore #ai-hardware

Same product