Shenzhen Jianquan Technology released "ZhiQuan AI Engine" 3.0, ushering in a new era of large-scale AI implementation.

News Updates January 26, 2026, 01:11
深圳涧泉科技发布“智泉AI引擎”3.0,引领AI规模化落地新纪元

Shenzhen Jianquan Technology Unveils "ZhiQuan AI Engine" 3.0, Pioneering a New Era of Large-Scale AI Implementation

January 26, 2026, Shenzhen—At a pivotal stage where global artificial intelligence (AI) technology is shifting from a "model competition" to "industrial empowerment," Shenzhen Jianquan Technology Co., Ltd. (hereinafter referred to as "Jianquan Technology") officially launched its independently developed "ZhiQuan AI Engine" version 3.0 today. This milestone product aligns precisely with current AI development trends, marking a new phase of large-scale, scenario-based implementation for enterprise-level AI applications. It injects strong momentum into the industrial intelligence transformation of Shenzhen and the entire nation.

Currently, AI development has entered the "practical deep-water zone." According to the latest Gartner report, the global market size for enterprise AI solutions is projected to exceed $1.8 trillion by 2026, with 85% of industry demand focusing on efficiency enhancement, cost optimization, and data-driven decision-making. As China’s core engine for AI innovation, Shenzhen, leveraging policy support and industrial chain advantages, is becoming a global "testing ground" for AI implementation. Seizing this trend, Jianquan Technology has adopted "scenario-based AI" as its core strategy, deeply integrating generative AI, edge computing, and industry knowledge bases. Its "ZhiQuan AI Engine" 3.0 not only supports real-time multimodal data processing (such as voice, image, and text) but also offers tailored intelligent prediction models for pain points in industries like manufacturing and retail. In collaboration with a leading electronics manufacturer in Shenzhen, the platform increased production line failure prediction accuracy to 95%, boosted production efficiency by 20%, and saved over 12 million yuan in annual operational costs, achieving a leap from "technology demonstration" to "business value."

"We do not create 'laboratory AI', only 'AI in factories'," emphasized Wang Wei, CEO of Jianquan Technology, during the press conference. Since its establishment in 2020, the company has secured three rounds of strategic funding (totaling 280 million RMB) and has been deeply involved in Shenzhen's government pilot project for "AI + Manufacturing." With 90% of its technical team comprising AI algorithm and industry experts, the company ensures its products directly address the real needs of enterprises. Recently, Jianquan Technology also partnered with the Hong Kong University of Science and Technology to establish a joint AI laboratory, accelerating the development of AI ethical frameworks and sustainable technology standards in response to the global call for responsible AI.

Industry observers note that the next wave of AI breakthroughs will stem from "scenario depth" rather than "model size." The practices of Jianquan Technology validate this logic—its platform already serves over 300 enterprise clients in South China, with a 170% year-on-year revenue growth projected for 2025. In the future, the company plans to expand into the Southeast Asian market by 2026 and launch an "AI Accessibility Initiative" to provide low-cost, customized services for small and medium-sized enterprises.

A relevant official from the Industry Division of the Shenzhen Municipal Government stated, "Jianquan Technology is a microcosm of Shenzhen's AI ecosystem. Its path from technological breakthroughs to industrial application provides replicable experience for the entire country." With the deep integration of generative AI and the real economy, Jianquan Technology is advancing the concept of "scenario-defined technology," driving AI from being a "nice-to-have" enhancement to becoming a core engine for "industrial upgrading." This is writing a new chapter for the high-quality development of intelligent manufacturing in China.

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