On August 18, 2026,Zhixing Era has signed a multi-year cooperation agreement with Ray Maple. The two parties will jointly advance market development, solution implementation and ongoing delivery of customized AI software for enterprise markets across Southeast Asia, the United States and Europe, while improving coordination for overseas business under a long-term collaboration framework.
The cooperation is centered on the practical business needs of enterprise customers. Zhixing Era will provide customized AI software capabilities and related delivery support, while Ray Maple will contribute its overseas market network and channel coordination. The parties will connect market engagement, requirements clarification, solution design, system integration, project implementation and service support to form a collaboration model better suited to overseas enterprise projects.
For enterprise customers, whether AI software can be embedded in day-to-day workflows depends on effective alignment between technical capabilities and specific use cases. Organizations differ in their business processes, management practices, existing systems and project timelines. As projects progress, the parties will emphasize early communication and requirements assessment, adapt solutions around real-world use cases, and maintain the coordination and support needed during implementation.
The cooperation will cover multiple stages of service, from requirements identification through ongoing optimization after go-live. Before a project begins, the parties will discuss the customer’s business objectives, application scope and system environment. Once a solution is developed, they will advance system integration, implementation planning and go-live support according to project needs. After deployment, continuing service and feedback discussions will support solution iteration as business requirements evolve. These arrangements are intended to make customized AI software more closely aligned with the way enterprises actually work.
Southeast Asia, the United States and Europe are the key regions expressly covered by the cooperation. Zhixing Era and Ray Maple will coordinate sales, implementation and delivery of relevant services in line with the needs of enterprise markets in each region. Rather than relying on a one-size-fits-all product replication model, the parties will organize projects and services around each enterprise’s specific needs.
The multi-year agreement provides a stable framework for the parties’ continuing overseas collaboration. It will enable them to build practical understanding of overseas enterprise needs, cross-regional communication and delivery organization through project work, while continuing to refine their cooperation processes. For Zhixing Era, the cooperation is also an important step in bringing customized AI software services to international enterprise markets.
At the operational level, the parties will coordinate resources and working rhythms according to the circumstances of each market and project. Market-side feedback will be connected with solution design, implementation planning and service support, helping project teams identify matters that require further clarification or adjustment. Where cross-regional collaboration creates differences in how requirements are expressed, the parties will use clear project communication and coordination mechanisms to improve efficiency.
The cooperation team will also turn project experience into clearer working methods, covering the focus of requirements discussions, ways of confirming project scope, information feedback during implementation and service handoffs. By reviewing these areas across different projects, the parties can gradually improve the clarity and executability of cross-regional collaboration without losing sight of customers’ actual needs.
Zhixing Era will continue enhancing its solution and service capabilities for overseas enterprises and will work closely with Ray Maple to steadily advance market development and project delivery in the confirmed regions. Guided by customers’ actual requirements and project implementability, the parties will work to integrate AI capabilities more effectively into enterprise systems and business scenarios.