Company News

On August 23, the final award ceremony and roadshow matching event of the 2026 Wuhan AI Agent Innovation Competition was held at Wuhan Conference Center. Lasting nearly four months, the competition attracted over 900 project registrations from across the country. After layers of selection across multiple competition zones, 27 award-winning projects ultimately stood out. In this pinnacle showdown of AI agent innovation, Gtrontec won the Leading Award in the finals with its 'Autonomous Agent for Manufacturing Scenarios' project, gaining authoritative recognition from the competition for its AI implementation capabilities in real manufacturing scenarios.

As an important competition for Wuhan to promote AI agent innovation, industrial application, and results transformation, this competition further established a platform for synergy among technology, capital, and industry, accelerating the market entry of a batch of innovative projects with independent intellectual property rights and promising industrial application prospects. Gtrontec's capture of the highest honor at this municipal-level competition further showcased its comprehensive strength in continuous innovation and industrial implementation of industrial AI agents.

Manufacturing possesses massive industrial data and highly complex business processes, long plagued by pain points such as data silos, reliance on manual experience for anomaly handling, and the difficulty of accumulating expert knowledge. To address these industry challenges, Gtrontec's manufacturing-scenario autonomous agent relies on its self-developed OctoMind Agent Space industrial-grade agent platform to build a full-chain capability from perception, analysis, decision-making, to action. Through large and small model collaboration, industrial semantic modeling, skill accumulation, and industrial data governance, it connects industrial systems such as MES, enabling AI agents to understand manufacturing operations, call upon enterprise knowledge, and execute cross-system tasks, advancing industrial AI from auxiliary analysis to autonomous decision-making and closed-loop execution.

Currently, the project has been implemented in multiple scenarios including quality control and production operation and maintenance across industries such as semiconductors, new energy, and automobiles, forming digital employee applications for quality analysis and production anomaly management. Project data shows that the annual comprehensive economic benefit of deploying digital employees on a single production line can exceed one million yuan, anomaly handling efficiency generally improves by more than 75%, and it supports 7×24-hour continuous operation, freeing up more than 25% of transactional work hours for frontline staff. The project has now been applied in various manufacturing enterprises, continuously delivering multidimensional value in cost reduction, efficiency improvement, quality enhancement, and output increase.

At the final award ceremony, representatives of Gtrontec participated in the roadshow of outstanding projects and went on stage to receive the award on behalf of the company, jointly witnessing this important moment with participating enterprises and industry guests. Meanwhile, Gtrontec also took part in the on-site project exhibition, presenting the innovative practices and application achievements of industrial AI agents in real manufacturing scenarios, further demonstrating the company's industrial practice capabilities in the AI field.

From the ability to perceive, to analyze and decide, and then to execute, AI agents are becoming an important technological path for the intelligent upgrading of manufacturing. Winning the Leading Award at the 2026 Wuhan AI Agent Innovation Competition not only recognizes Gtrontec's industrial AI technical strength and industrial practice but also further validates the large-scale application value of autonomous agents in manufacturing scenarios.

In the future, Gtrontec will continue to focus on the OctoMind industrial intelligent decision-making hub, driving industrial agents deeper into core manufacturing scenarios such as production, equipment, quality, energy and carbon, logistics, and supply chain, enabling AI to truly enter factories, connect with business, and participate in decision-making, continuously injecting new momentum for the manufacturing industry to move toward a new stage of AI-driven intelligence.