---
title: "SHENGTONG: Subsidiary launches AI education innovation platform"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/249251468.md"
description: "SHENGTONG's wholly-owned subsidiary, SHENGTONG Education Group, launched an AI education innovation platform in Beijing, aimed at providing a one-stop solution for artificial intelligence education in primary and secondary schools. The platform integrates curriculum systems, hardware support, and teaching practices, covering applications such as AI creation, facial recognition, and homework grading. The AI model training on the platform uses a no-code solution, supports cross-platform deployment, and opens a general module library for easy integration with various smart hardware devices"
datetime: "2025-07-19T13:18:18.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/249251468.md)
  - [en](https://longbridge.com/en/news/249251468.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/249251468.md)
---

> Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/249251468.md) | [繁體中文](https://longbridge.com/zh-HK/news/249251468.md)


# SHENGTONG: Subsidiary launches AI education innovation platform

SHENGTONG announced that its wholly-owned subsidiary, SHENGTONG Education Group, officially launched an AI education innovation platform at the Zhongguancun Internet Education Innovation Center in Beijing. This platform is oriented towards integrating the entire "teaching, learning, practicing, and creating" process, combining cutting-edge technology with educational principles to provide a one-stop solution for artificial intelligence education in primary and secondary schools. It covers everything from curriculum systems to hardware support, and from classroom teaching to practical innovation, including AI applications such as AI creation, facial recognition, and homework grading, as well as AI model training and intelligent agents. According to reports, the AI model training on this platform is based on a local computing power no-code model training solution, which can generate AI models with simple operations. The trained models rely on the versatility of the ONNX format, enabling cross-platform and cross-framework deployment. In addition, the platform has opened a general module library, allowing easy integration of hardware devices such as intelligent experimental kits, robots, and sensors that support this module library

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