Jiuzhua Intelligence Secures Tens of Millions in Pre-A Round Funding, Co-invested by Baiyun Financial Holdings and Baiyun Construction Technology
author: CPRRA
2026-01-13
Recently, Jiuzhua Intelligence (full name: Guangzhou Jiuzhua Intelligent Technology Co., Ltd.), an enterprise specializing in intelligent sorting equipment for renewable resources, has completed a Pre-A round of financing worth tens of millions of yuan. Co-led by Baiyun Financial Holdings and Baiyun Construction Technology, the funds will be mainly used for the iteration of core algorithms and sorting equipment, the engineering of key application scenarios, as well as the replication and implementation of intelligent sorting systems across multiple regions and scenarios.
1. Building Sustainable Intelligent Sorting Capabilities Based on Complex Materials
Jiuzhua Intelligence has long focused on the highly complex niche field of sorting renewable resources and municipal solid waste. Centering on the core industry challenge of how to achieve long-term stable identification of complex materials under real working conditions, it has developed an intelligent sorting solution based on AI multimodal composite recognition technology. Compared with common sorting schemes in the industry that rely on a single visual or sensing path, Jiuzhua has significantly improved the system’s recognition stability and generalization ability in high-pollution, high-volatility scenarios such as mixed waste plastics, mixed municipal solid waste, and construction and decoration waste by fusing visual, material, morphological and multi-source sensing data. This reduces reliance on manual experience and multiple sorting processes from the source.
At the product and system level, instead of merely pursuing equipment parameter indicators, Jiuzhua Intelligence emphasizes modular design, engineering adaptability and long-term operational stability. This enables the sorting system to continuously output raw materials with stable and predictable quality under different processing scales and operating conditions, laying a more controllable operational foundation for downstream recycling and utilization.
2. Core Competitiveness: A Three-tier Capability Structure for Large-scale Application
From an industry practice perspective, intelligent sorting is not a new concept, but few enterprises truly possess the capabilities for large-scale, sustainable application. Jiuzhua Intelligence’s competitive advantage does not stem from the performance of a single piece of equipment or algorithm, but from a gradually formed replicable system-level capability structure, which is mainly reflected in the following three levels:
(1) A Technological Foundation with Original Innovation Capabilities
Rather than making partial optimizations based on existing equipment or algorithm paths, Jiuzhua has achieved underlying technological breakthroughs by addressing long-standing, industry-wide challenges in the sorting of renewable resources and municipal solid waste. It has built an AI multimodal composite recognition technology system tailored for the renewable resources industry, forming an integrated hardware and software R&D capability covering algorithms, self-developed models, sensor fusion and system architecture. With a self-research rate of core hardware and software exceeding 95%, the company boasts a high degree of technological independence.
(2) Deep Integration of Technology with Real Complex Scenarios to Form Systematic Processing Capabilities
On this basis, Jiuzhua continuously integrates technological R&D with real, high-complexity material feeding scenarios. Through tens of millions of real-scene annotated data of mixed waste and long-term continuous operation verification, it continuously optimizes models and equipment structures, enabling the system to adapt to highly volatile materials from different sources, seasons and pollution levels. This capability significantly reduces the need for manual intervention, lowers the frequency of rework and downtime, and improves the stability and predictability of downstream raw material quality, thereby effectively reducing the overall costs of downstream enterprises at the operational level.
(3) System-level Solution Capabilities for Large-scale Replication
Based on the aforementioned technological and scenario accumulations, Jiuzhua no longer provides standalone equipment, but a sustainable, cross-region replicable basic sorting capability. This capability can be embedded into renewable resource processing systems in different regions, deeply synergizing with upstream and downstream process flows to enhance overall sorting efficiency and resource utilization rates.
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