As a technology-driven IT innovation enterprise, the company has been engaged in the pre-training, fine-tuning and application R&D of large AI models since 2023, with deployments rolled out in fields such as smart cities and online education. In 2026, we will focus on artificial intelligence technology as the core, extensively apply large language models in vertical sectors including education and personal competency assessment, and integrate RAG (Retrieval-Augmented Generation) and multi-agent technologies to provide users with a full suite of innovative products and services covering AI-assisted education, AI basic resources, application services and agent localization. Our corporate development strategy is to become a globally leading AI technology and service provider in the education and human resources sectors. By promoting the application of AI technologies, we aim to enhance the efficiency of people’s learning and work, and facilitate mutual communication and exchanges among individuals around the world.
Our Existing Innovations:
- AI English GO Teaching System
This is an AI-assisted language teaching platform developed by the company, built on the technologies of AI Large Language Models (LLMs), Text-to-Speech (TTS), Automatic Speech Recognition (ASR) and multi-agent systems. It was officially released and put into application in 2024.Teachers can configure diverse scenarios in the backend, including interactive dialogues, writing tasks and vocabulary memorization exercises. Students practice on the frontend, engage in AI-powered interactive learning, and receive automated evaluations of their learning outcomes.To date, nearly 100 universities have been trialing this platform, along with its sister solutions such as AI Japanese GO. These systems have earned high praise from both teachers and students, as well as relevant accolades.
- AI Computing Power and Services
In 2026, the company entered into long-term cooperation agreements with HPCAI and RunSun in Singapore, committing to provide continuous computing power support to HPCAI over the next three years.The company also serves clients of AI and data equipment such as Gallop in Hong Kong, and will continue to deliver professional technical services to them.

- CEPA English Proficiency Test - Classroom English Proficiency Assessment
The English proficiency assessment market is enormous. Each year, a vast number of students worldwide take tests like TOEFL and IELTS, while also spending substantial sums on related training courses. Late Class Technology Inc recognizes that AI technology can enable faster, more efficient, accurate and cost-effective English proficiency assessment. The CEPA test was officially launched in January 2026, which conducts a comprehensive evaluation of students' English abilities through online dialogues, text-based interactions and other methods. It places special emphasis on assessing whether students are competent to study and live in an English-medium classroom and campus environment.
The team’s goal is to have over 100 educational institutions accept CEPA scores or integrate the CEPA test into their own English teaching assessment systems by the end of 2026.
In the meantime, the company will also roll out AI-assisted assessment systems for Chinese and various other languages.
- XEnglish: Personalized English Tutoring System
For students who have completed the CEPA assessment and wish to improve their English proficiency, the XEnglish platform will provide one-on-one personalized teaching and tutoring services. Leveraging partnerships with XStudyAI and relevant colleges and training institutions, the company ensures that every student receives a tailored teaching plan and learning roadmap, enabling them to achieve rapid progress in their English abilities.
- AI Application Service Provision Built on years of technical accumulation, the company’s R&D team is capable of providing AI application services to third-party organizations. We will offer a suite of AI technical services to partners across sectors such as smart cities, smart campuses and botanical drug R&D, including large model fine-tuning, RAG and knowledge graph development.