Company News

From April 28 to May 4, the 9th Digital China Summit was grandly held at the Fuzhou Strait International Conference and Exhibition Center. It gathered a number of high-quality enterprises, including leading central state-owned enterprises in the digital industry, Fortune Global 500, China 500, and top 100 industry companies. Gtrontec, a leading industrial AI company in China, made a brilliant appearance. This time, Gtrontec innovatively brought two core engines—'AI Carbon+', the energy-carbon smart connectivity platform, and 'Tianshu AI Platform'—to jointly debut, centrally demonstrating the comprehensive strength of AI-driven industrial production in 'improving quality and efficiency' and 'green and low-carbon' dual progress.

This time, Gtrontec's first exhibition of the 'AI Carbon+' energy-carbon smart connectivity platform directly addresses the pain points of enterprises' extensive and high-cost energy carbon management. The platform is jointly built by Gtrontec and Hubei Sino Carbon Asset Management Co., Ltd. Its innovation lies in constructing an AI-driven system integrating the four elements of 'energy, carbon emissions, intelligence, and finance.'

The platform centers on a vertical domain large model, building a six-layer intelligent architecture that completely opens the full-chain data from energy supply and consumption to carbon emissions. It not only enables scenario-based energy savings such as intelligent HVAC control and energy dispatch optimization at the factory level but also simulates regional carbon peak paths upward and provides an accurate data foundation for carbon asset operations and green finance involvement. This dual-wheel drive model of 'technology + market' transforms energy conservation and carbon reduction from a cost item into a potential value creation point.

Reportedly, the platform has served over 100 factories and parks, achieving maximum energy cost savings of over 16 million yuan per factory and cumulative carbon reduction of 400,000 tons, providing a quantifiable and replicable benchmark paradigm for the implementation of the 'dual carbon' strategy on the industrial front.

At the same time, Gtrontec's mature tool in industrial quality control, Tianshu AI, also appeared in Fuzhou with its newly upgraded version 3.0. Targeting the pursuit of extreme precision and efficiency in defect detection for pan-semiconductor manufacturing, the Tianshu AI platform 3.0 showcases its distinctive features of 'low threshold, high precision, and strong autonomy.' Its innovative visual editing and 'three-day training ready' model greatly lowers the technical threshold for enterprises to apply AI, helping customers quickly develop independent iteration capabilities.

Notably, the breakthrough application on the Tianshu AI platform 3.0—the semiconductor Auto SMI analysis system—is mainly used in factories for multi-process measurement and inspection equipment MAP analysis, overlay analysis, and time series analysis. It truly breaks down data silos across processes, enabling accurate anomaly capture and timely anomaly alerts, maintaining an ultra-high detection accuracy of over 99%.

It can shorten the detection cycle by 60% and reduce manual review labor by 70%-90%, creating tens of millions of yuan in economic benefits annually for a single factory, driving China's high-end manufacturing to shift from reliance on manual labor and experience to autonomous, precise, and stable AI intelligence in core quality control processes.

Gtrontec's demonstration at the 9th Digital China Summit goes beyond the value proposition of a single product dimension. By optimizing the factory's 'energy metabolism' and 'carbon footprint' through 'AI Carbon+', and empowering the production 'visual nerve' and 'analysis brain' through Tianshu AI, the two collaborate to form a complete intelligent governance covering the energy flow, production flow, and quality flow of manufacturing enterprises, vividly interpreting Gtrontec's development concept of deep integration of industrial digitalization and greenization.