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Tianli Qiming Presents Education AIOS Path and AI Sprint Camp Coverage at Frost & Sullivan Summit

On August 5, 2026, Wang Jingzhi, CFO of Tianli Qiming, the smart education brand under Tianli International Holdings, spoke at the 20th Frost & Sullivan Global Growth, Innovation and Leadership Summit in Shanghai, describing the company's path from AI education products to an education AI operating system. The talk disclosed that AI Sprint Camp started in 2024 with 36 borderline students at Yibin Tianli School and by 2026 covered 50 internal and external schools and more than 2,500 students across 15 provinces. AI Study Rooms have been deployed in more than 50 schools and entered multiple Zhongshuge stores under a joint-operation model.

This is an early public disclosure by an education company of an education AI operating system architecture and out-of-system replication data, offering a reference point for judging whether AI education products can move from one-off tool transactions to ongoing platform services. Two direct effects: first, AI Sprint Camp expanding from one school to 50 schools across 15 provinces indicates standardized delivery is replicable outside its own system; second, AI Study Rooms entering bookstore stores under a joint-operation model offers a path for consumer expansion without building assets. It should be noted that figures such as an average improvement of more than 50 points and undergraduate admission rising from 36 to 43 students are company-disclosed, with no independent research or third-party verification in the source, so they cannot support conclusions about overall education quality. AI Sprint Camp covering 50 schools and more than 2,500 students across 15 provinces provides a verifiable scale sample for cross-school standardized delivery of AI education products. AI Study Rooms entering multiple Zhongshuge stores under a joint-operation model shows AI education products can use existing retail channels to reduce asset investment in consumer expansion.

Original source Sina Finance ↗