Dialogue with the Founder of Endpoint Technology: How Will AI+ERP Navigate Competition with SAP and Yonyou?

Deep News
Oct 20, 2025

On the morning of October 20, Hangzhou Endpoint Network Technology Co., Ltd. (referred to as “Endpoint Technology”) announced the launch of its AI-native ERP, showcasing a revolutionary breakthrough in technological innovation, core capabilities, and industry value through AI-native reconstruction of ERP. This AI-native ERP is built on Endpoint Technology's self-developed Trantor platform, which standardizes and metadata-fies complex business capabilities, enabling efficient and flexible construction of ERP, digital procurement, and other large enterprise applications while seamlessly integrating AI agents as tools for executing tasks.

“This AI-native ERP is not just software; it empowers enterprise software systems with AI-driven capabilities,” said Zhao Fenwei, founder and CEO of Endpoint Technology. “We aim to create a perpetual engine for enterprise digitalization, defining system standards with ‘intelligence,’ supporting every corporate strategy with AI, and driving every execution with AI to advance enterprises towards a new stage of comprehensive intelligent management.”

In the realm of ERP, there are not only domestic publicly listed companies such as Kingdee and Yonyou but also international leaders like SAP. Is there still market opportunity for an AI ERP at this time?

According to Lai Yunchun, Endpoint Technology's ERP Product Director, traditional ERP systems standardize enterprise management processes, while AI-native ERP addresses management issues at the “Why” level, guiding companies to take appropriate actions at suitable times. It is not a simple “AI+ERP” but a comprehensive smart management platform that drives enterprise operations through AI's cognition, reasoning, and decision-making capabilities. From this perspective, SAP and mainstream domestic ERP companies have yet to achieve a paradigm shift in the new wave of AI.

Endpoint Technology stated that between 2019 and 2022, it underwent a crucial phase of product strategy evolution, involving multiple profound technological restructurings and coding over ten million lines. During the iterative process, the company achieved a pivotal breakthrough in its product architecture in 2022, resulting in exceptionally high execution efficiency in real engineering practices, laying a solid foundation for rapid product upgrades and deep integration with AI, propelling growth in 2024 and 2025.

“After three years of effort, our products are now highly systematized and have shown remarkable results upon delivery to clients,” Zhao Fenwei noted. “Based on today’s product performance, if a company wants to integrate AI, our product vision will become a correct approach for their enterprise software, and many software companies will realize in the future that they should hand over all capabilities to AI.”

Endpoint Technology revealed that since its establishment in 2012, the company has participated in major system restructures for many scale enterprises, including hundreds of Fortune 500 companies, generating nearly a billion RMB in revenue back in 2018 with minimal input from sales personnel, fully validating market capability. By early this year, with the unprecedented maturity of the next-generation AI-native ERP and the readiness for large-scale delivery, the company systematically began to build its sales team. “Having seen the new AI-native ERP product performing effectively, we hope the sales team can quickly reach a new stage from this year to next.”

“As a product-driven software company, we have thoroughly solved product-related issues,” Zhao Fenwei emphasized.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10