Tianji Holdings (01520) launches MokenLogic macOS preview
The Zhitong Finance App learned that on September 1, Tianji Holdings Co., Ltd. (01520) announced that MokenLogic's official website, MokenLogic.com, the group's artificial intelligence product brand, has now been launched for trial, and the preview version of MokenLogic Harness for macOS is open for download simultaneously.
According to reports, MokenLogic's product direction is continuous learning intelligence, focusing mainly on the application layer above the model, embedding artificial intelligence into content asset operations, brand interaction, and enterprise workflows to provide deliverable services to users, enterprises, and IP creators. This is the first step for the Group to implement the AI application layer strategy into user-oriented products based on the existing IP digital ecosystem business.
Mei Weiwei, Chairman and Executive Director of Tianji Holdings, said, “Our goal is not to repeatedly build a basic model, but rather to allow AI to enter content asset operations, brand interaction, and corporate workflows. MokenLogic wants agents to take on long-term tasks, call tools, and leave a basis for work that can be checked. The Group will first verify products using its own IP operating scenarios, and then gradually open up service interfaces for partners.”
Using IP as the asset base, improving content and service efficiency with AI
Tianji Holdings has long provided IP holders and brands with IP asset digitization, IP derivatives R&D and promotion, and IP ecosystem operation services. The business scenario covers content operation and digitization in sports, art and other fields. This time, MokenLogic products mainly focus on the application layer above the model: based on existing IP content and actual operation scenarios, forming continuous and inspectable intelligence capabilities through MokenLogic; improving content supply efficiency with AI content production tools; and using a multi-model route matching model.
According to the company's management, embedding artificial intelligence in content production, version iteration, user interaction, and daily operations will help improve the supply efficiency and interaction density of IP assets. Scenes such as sports IP operations and art IP cooperation revealed by the Group also provide a foundation for these capabilities. To serve high-frequency, multi-version, and multi-channel content requirements, the Group is also promoting diversified AI content production tools, which will be announced separately depending on the progress of R&D and cooperation.
Inference and Agent Service Interfaces for Enterprise-level Partners
According to reports, the Group plans to launch inference and intelligent service interfaces for enterprise-level partners after the service is ready, so that external applications and partner enterprise systems can call stateful task execution, multi-model routing, and execution trajectories that can be checked. Terms of access, support models, data processing rules, and pricing will be announced when the interface opens.
The market can pay attention to the progress of development and cooperation between users of macOS preview and content production tools using product iterations, videos, etc., as well as the publication of service interface openings, access terms and data processing rules for enterprise-level partners.
MokenLogic Harness for macOS: preview now available for download
The MokenLogic Harness for macOS preview is now available for download. Currently, the product is mainly tested for creators, content teams, and knowledge workers.
MokenLogic website: https://mokenlogic.com
macOS preview download: https://mokenlogic.com/download
Group website: https://www.vmh.com.hk
About Tianji Holdings
Tianji Holdings Limited was incorporated in the Cayman Islands and listed on the Hong Kong Stock Exchange. In recent years, its business focus has shifted to an IP digital ecosystem, providing a full cycle of IP ecosystem construction and operation services for IP holders and brands, and promoting application-level artificial intelligence based on this.