HK Stock Market Move | TIANLI INT HLDG (01773) rose more than 8%, with continued innovation in AI+ education. The company's AI education products have been implemented in over a hundred schools in China.
Tianli International Holdings (01773) rose more than 8%, as of the time of writing, it has risen by 6.9% to $2.79 Hong Kong dollars, with a turnover of 45.1648 million Hong Kong dollars.
TIANLI INT HLDG(01773) rose by more than 8%, as of the time of drafting, it rose by 6.9% to 2.79 Hong Kong dollars, with a turnover of 45.1648 million Hong Kong dollars.
In terms of news, CMSC International pointed out that AI+ education innovation continues, and market participants are forming a differentiated competitive landscape; the comprehensive development of model capability + systematic content + emotional companionship + generalized learning context will become a future trend. It is reported that TIANLI INT HLDG, through its wholly-owned brand "Qiming Daren", relies on its self-developed "Tianli Qiming AI Learning Companion" education category large model (which has been filed with the state), to build a matrix of AI education products covering all scenarios of "teaching, learning, management, evaluation, examination, research", and has landed in 107 schools nationwide by December 2025, serving over 250,000 teachers and students.
It is worth noting that according to CCTV news reports, the Ministry of Education will further optimize the layout of higher education structure in 2026, and classify the promotion of university reform as a major strategic task. It will also initiate a new round of building "Double First-Class" universities, promote research-based universities around science and technology entrepreneurship and industrial development. In addition, it will further strengthen the support of education for science and technology and talents, help improve the overall efficiency of the national innovation system, initiate the construction of national interdisciplinary centers, improve the network system for the transformation of scientific and technological achievements in universities, and explore new models for training top talents in key areas.
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