On July 24, 2026, the grand finale of Glorysoft’s inaugural AI Hackathon was grandly held in Suzhou. Under the theme “Unleash AI Potential, Lead the Digital Wave”, the competition aimed to uncover in‑house technical mavericks and creative pioneers. Following preliminary screening, 12 teams stood out from 32 submissions to compete in the final round. As the initiator and overall lead of this AI Hackathon, Ye Yuhui, Co‑CTO of Glorysoft, delivered a concise opening address, announced final‑round rules, and shared high expectations for the event on behalf of the company’s management team.
Ye Yuhui, Co‑CTO, delivers the opening address
The AI Hackathon is far more than a simple programming contest. It represents a strategic breakthrough for innovation and company‑wide hands‑on AI training. During the hackathon, multiple AI application scenarios are tested in parallel within a set timeframe, rapidly validating overlaps between technical feasibility and real‑user pain points. More importantly, it breaks down functional silos, enabling product, algorithm, and pre‑sales teams to collaborate in sync under time pressure and spark creative synergies rarely seen in day‑to‑day work. Glorysoft spares no effort in advancing AI initiatives. Through this event, AI capabilities are cultivated organically across the organization. This “internal competition” mechanism drives more innovative, even disruptive product ideas.
The final adopted a competition format of 10‑minute live demo + 5‑minute Q&A. The judging panel scored entries against two core dimensions: practical business impact and innovation. Teams demonstrated tangible AI‑driven efficiency gains and cost reductions through data comparisons and real‑world scenario simulations.
✦
Focus on AI Strategy: From In‑house Incubation to Open Collaboration
/
Sun Zhiyan, Chairman of the Board, outlined three clear strategic pillars for AI innovation at the event.First, the sole benchmark for AI innovation is: what real‑world problems are solved and what measurable value is created.Second, the company will establish a long‑term internal entrepreneurship mechanism. Adopting a “partner‑mindset”, Glorysoft will incentivize employees to launch innovation projects and provide incubation resources and project support.Third, employees are encouraged to proactively engage external technology partners. Individual capabilities shall multiply value when combined with corporate platforms — rather than merely adding capabilities — to jointly build technical moats for smart manufacturing.
✦
Three Award Categories Announced: From Point‑Solution Efficiency Gains to Full‑value‑chain Empowerment
/
After intense competition, the contest’s three awards were finalized. The team behind the Multimodal AI Agent Platform prevailed among strong contenders and claimed the first‑place prize with a reward of over RMB 100,000.
Integrating capabilities including visual recognition, voice interaction, RAG knowledge base, intelligent Q&A, chart analysis, risk prediction, fault diagnosis and work‑order loop‑breaking, the project builds a new‑generation multimodal AI intelligence agent that “sees, hears, thinks, executes and communicates”
In the final demo, leveraging Glorysoft’s industrial scenarios, data assets and R&D system, the platform delivered remarkable results in boosting O&M efficiency, shortening fault‑diagnosis response time and improving solution completeness, highlighting its promising commercial application prospects. Supported by the company’s internal‑entrepreneurship policy that helps turn creative ideas into deliverables, this project is now scheduled to be incorporated into Glorysoft’s official product portfolio.
Demo of Multimodal AI Agent Platform full‑view cockpit interface
Second prize went to the team behind the AI‑Powered Full‑Lifecycle Document & Delivery Platform. This project covers end‑to‑end workflows from pre‑sales to delivery. It addresses pain points such as repeated cross‑department communication, scope creep and supplementary‑evidence collection for acceptance, cutting document‑drafting cycle time by 50%.
Third prize was awarded to the SmartVision Auto‑Development Platform. Powered by multimodal large‑model auto‑annotation and Auto‑Research technologies, the platform enables automated development, tuning and deployment for vision‑centric tasks. It effectively lowers cost barriers and shortens iteration cycles for vision‑algorithm deployments.
✦
Additional Highlights: Dual Breakthroughs in R&D Productivity & Industrial Intelligence
/
Beyond the winning projects, the final showcased a cohort of solid, implementable innovative projects and AI‑talent, demonstrating deep AI penetration across R&D efficiency and industrial‑manufacturing scenarios.
On R&D‑efficiency fronts:
The AI‑automated testing platform executes 15 end‑to‑end test cases from a single instruction; regression‑testing duration is compressed from 5‑7 hours to 5 minutes with a 100% pass rate.
Generative‑AI RPA cuts implementation‑staff deployment time by 80‑90%.
The AI‑intelligent low‑code asset migration platform delivers 50‑100× faster single‑page migration, with projected manpower‑cost savings of 60‑70%.
For industrial intelligence and pan‑semiconductor smart manufacturing:
The Smart‑Model Device Workshop compresses process‑validation lead‑times from days to hours and software‑development cycles from months to days.
The Pan‑semiconductor Intelligent Document Parsing Platform boosts development‑and‑configuration efficiency by 50%.
The one‑click internationalization tool for MES clients delivers robust engineering support for overseas project deliveries.
Additionally, the pre‑sales AI‑digital‑human Agent automatically generates proposal recommendations from customer conversations, empowering the sales organization with AI.
✦
Spur Innovation through Competition: The AI Journey Accelerates
/
The true significance of the AI Hackathon lies in democratizing AI innovation: breakthrough ideas can originate from every role, every scenario and every individual, rather than being limited to a small group of specialists.While this edition of the AI Hackathon has concluded, Glorysoft continues its journey to reshape software productivity with AI. Gradually, the company will open participation channels to external developers, advancing AI from internal experimentation toward industrial co‑creation. Competitions fueled by technical innovation will unlock even greater AI potential.
