The Zhitong Finance App learned that on November 12, Aoya Co., Ltd. (300949.SZ) and Tencent Cloud held an ecological cooperation exchange meeting. This meeting was also another important point in the seven-year history of cooperation between the two sides. Chen Fei, senior vice president of Tencent Cloud, Fang Tengfei, vice president of Tencent Cloud and head of smart cultural tourism and construction business, Yan Min, head of Tencent's smart retail and lifestyle industry technology architecture, Li Fangyue, founder, co-chairman and president of Aoya Co., Ltd., Wan Xiaofang, COO of Aoya, and Guo Rui, CTO attended the conference. The two sides systematically reviewed the results of many years of cooperation, had in-depth exchanges on topics such as the application of large spatial intelligence models, data value transformation and ecological collaboration, and reached broad consensus to clarify the direction of subsequent cooperation and accelerate the application and implementation of AI in the field of cultural tourism and urban renewal.
This exchange is a leap forward in energy between the two sides for the implementation of the spatial intelligence industry based on long-term cooperation. It will push collaboration between the two sides to a new level. Using this as a new starting point, the collaboration between Aoya and Tencent Cloud will move from “technology+scenario” two-way empowerment to “data+ecology” deep co-creation, making spatial intelligence a new engine driving the digital and intelligent upgrading of cultural tourism and urban renewal.
1. Focus on spatial intelligence and explore a new blue ocean of data value
At the meeting, the two sides focused on the application prospects and data value transformation of large spatial intelligence models, had in-depth exchanges on the development direction of physical AI, and explored the industrial implementation path of spatial intelligence. Ultron Engine, a subsidiary of Aoya Co., Ltd., focuses on developing vertical spatial agents based on the world model, using AI to drive stock asset appreciation and space renewal, and solve industry pain points such as inefficient traditional design. Ultron Engine relies on integrated analysis of multi-dimensional data to generate transformation plans and digital assets, accurately identify commercial value depressions, and provide full life cycle support from asset diagnosis to space operation for urban renewal and cultural tourism operations.
Facing the broader industrial landscape, the two sides will also jointly explore cooperation in the collection and conversion of 3D industry data, as well as data services for robot work scenarios, to promote the transformation of real data deposited in physical space into quantifiable, operable, and value-added digital assets, and unleash the limitless possibilities of industrial value.
2. Deepen project co-construction and accelerate AI's entry into the real industry
Currently, the mutual agreement is being translated into practice at an accelerated pace. The spatial data accumulation, international background and technical resources, and full scenarios and requirements formed by Aoya in more than 20 years of project practice have provided a foundation for the two sides to explore the direction of spatial intelligence and physical AI. At the project co-construction level, Aoya Co., Ltd. and Tencent Cloud will use real business scenarios such as hotel space design and cultural tourism projects as entry points to integrate spatial intelligence capabilities and Tencent Cloud's cutting-edge products into real business, and explore AI + cultural tourism practice models that can be replicated and promoted.
At the same time, the two sides are also focusing on depositing scenario experience into reusable product capabilities. On the one hand, Aoya Co., Ltd. plans to promote industry SOPs accumulated over 20 years to enterprises through the WorkBuddy platform; on the other hand, Aoya will introduce Tencent's location services and location big data capabilities to carry out digital quantitative spatial analysis and serve the needs of various scenarios such as office location selection.
From project co-construction to capacity overflow, the granularity of cooperation between the two parties continues to be refined, and the value link continues to expand.
3. Gather ecological synergy to jointly build a spatial intelligent industrial ecosystem
The core of ecological collaboration lies in openness and symbiosis. Tencent Cloud fully opened up its technical base and global ecological resources to Aoya, while Aoya fed back the ecosystem with a scenario understanding and industry methodology, and the two sides grew together in both directions.
From the model base of spatial intelligence to scene verification of physical AI, technology and scenarios nourish and achieve each other in the ecosystem. In addition, the two sides plan to further develop the value of data, publish industry-related indices and white papers, use data insight to serve industry decisions, and provide enterprises with quantifiable and referencable value coordinates. From technological co-creation to standard co-construction, an industrial ecosystem with spatial intelligence as a link and mutual benefit from all parties is taking shape at an accelerated pace.
Since joining hands in 2019, the level of cooperation between Aoya and Tencent Cloud has continued to advance. In the seven-year history of cooperation, from single to complex, from single point to comprehensive, the two sides have continued to show their achievements in AI co-creation. In the future, Aoya Co., Ltd. and Tencent Cloud will continue to deepen the spatial intelligence circuit, iteratively refine the core capabilities of the Ultron Engine, accelerate the upgrade from a “space design service provider” to a “space intelligence technology company”, continue to create a replicable and implementable AI+ cultural tourism and AI+ urban renewal benchmark model, and jointly build a new pattern of high-quality development in digital space — let AI enter real space and bring greater value to every inch of space.
