Financial AI transforms into sports prediction, Shanhe AI Sports seeks financing

Shanhe AI Sports, an AI sports prediction service provider, completed a seed - round financing of 2 million yuan on December 18, 2024. This round of financing was funded by the project founder himself. The financing funds are mainly used for model building and market promotion. At present, the technological R & D of Shanhe AI Sports has become quite mature. The core model has been operating stably for a long time. The prediction accuracy and stability of the model rank among the top in the field of sports prediction models. It is now seeking a new round of financing of 10 million yuan to accelerate the layout in overseas markets and the upgrade of the team's capabilities.

I. Prominent Industry Pain Points and Opportunities in the Trillion - level Blue Ocean Market

The global sports data service industry is at a critical stage of rapid expansion. The integration of AI technology and sports event decision - making is reshaping the traditional market landscape. According to industry data statistics, the global sports gambling - related market scale reached 1.5 - 2 trillion US dollars in 2024, and it is expected to exceed 3 trillion US dollars by 2030, with an annual compound growth rate maintained at 10% - 12%. Among them, football - related gambling accounts for nearly half of the overall market, and the penetration rate of online channels continues to increase, which is expected to reach over 60% by 2030.

Asia, as the most promising emerging growth market in the world, has an average annual growth rate of 15% - 20%, significantly higher than the global average. In the Chinese market, the sales of lottery tickets for sports betting have maintained a stable growth trend in recent years. In 2024, the sales of sports lottery tickets accounted for 69.02% of the total lottery ticket sales, and the market demand continues to be released.

Although the market scale is huge, the long - standing structural pain points in the industry have not been effectively solved. Traditional leading gambling enterprises mainly focus on the construction and operation of betting channels, and their core prediction capabilities are relatively weak, unable to provide users with high - quality decision - making support. Professional sports data companies mainly provide raw data and basic statistical services and do not directly develop decision - making products for C - end users. A large number of individual experts and self - media in the market highly rely on subjective experience for judgment, and the prediction results fluctuate greatly, lacking stability and replicability. These industry pain points have created a broad market space for AI sports event prediction service providers with technological advantages.

II. Migration of Financial Quantitative Technology and a Full - process AI Prediction Closed - loop

The core competitiveness of Shanhe AI Sports lies in the successful migration of mature quantitative analysis and AI modeling technologies in the financial field to the sports event prediction field. The team adapted and transformed the AI analysis framework originally serving billion - level financial transactions, and constructed a full - process, self - controllable technological closed - loop system from data collection, model building, algorithm optimization to result verification.

At the data level, Shanhe AI Sports has completed the construction of a database covering hundreds of thousands of domestic and international sports events, accumulating rich historical data resources. During the model training process, the team integrated three types of data: basic dimensions, dynamic dimensions, and professional dimensions of sports events. Among them, the basic dimensions include static data such as the historical records of teams and the basic information of players; the dynamic dimensions cover real - time data such as injury situations, on - the - spot state changes, and weather impacts; the professional dimensions incorporate in - depth sports professional data such as tactical style analysis and referees' law - enforcement characteristics. Through the cross - verification and integration of multi - dimensional data, Shanhe AI Sports has created an AI prediction model that combines human and machine, effectively making up for the limitations of pure data models and pure experience - based judgments.

In terms of prediction accuracy, the annual comprehensive prediction accuracy of Shanhe AI Sports can reach 65%, with very significant stability, far higher than the industry average. In the tests of the top five European football leagues in the 2025 - 2026 season, the model performed even more prominently. The single - item prediction accuracy of the English Premier League reached 73.7%, and the comprehensive accuracy of the top five leagues was 65.8%. The stable and leading prediction accuracy has become the core differentiating advantage of Shanhe AI Sports compared with similar products in the market.

III. Steady Layout in the Domestic Market and Opening of Overseas Channels

This seed - round financing is the first publicly disclosed financing event of Shanhe AI Sports. As of now, the project's technological R & D has been very mature. The core algorithm has been iteratively optimized many times, and the model performance has remained stable for a long time. However, the market promotion business of the project is still in its infancy and faces certain growth bottlenecks. Currently, the revenue of Shanhe AI Sports mainly comes from the fees for sports event prediction consultations, which can only barely maintain the basic operation of the project.

In terms of the team, the core members of Shanhe AI Sports all graduated from top domestic and international universities. Their professional backgrounds cover multiple fields such as mathematics, artificial intelligence, and sports data analysis. The team members have an average of more than 5 years of experience in researching football and basketball event data, combining profound technical skills with rich industry knowledge.

According to the plan, the 10 million yuan financing that Shanhe AI Sports is seeking this time will be mainly used for overseas market development and the operation of self - owned physical lottery tickets in the domestic market. In the future, the team will continue to optimize the algorithm model to further improve the prediction accuracy, and at the same time attract more top - notch talents to join and improve the team structure. In terms of business model, Shanhe AI Sports will continue to explore a results - oriented paid service model to achieve commercial realization by creating direct decision - making value for users.

Shanhe AI Sports said that relying on the technological barrier formed by the migration of financial quantitative technology, the project has broken through the industry limitation of traditional sports event prediction relying on subjective experience. With the continuous expansion of the global sports data service market, the enabling value of AI technology for sports event decision - making will be further released. Shanhe AI Sports is expected to occupy a place in the global market with its stable and highly accurate prediction ability.