Guangzhou Xianshengzhou Technology Co., Ltd. was established in 2023, and its main business is enterprise AI tools. The predecessor of Xianshengzhou was the AI department of Puwei Group, which operated independently after the establishment of a new entity.
Since its establishment, Xianshengzhou has focused on the research and application of AI technology, providing diversified solutions such as AI knowledge base, office system, enterprise agent, etc. Create an intelligent and efficient working environment for enterprises, and assist in their innovative development.
Committed to promoting the artificial intelligence of enterprises and facilitating the implementation of artificial intelligence technology.
PhaEonAl, established in 2023, is located in Haizhu District, Guangzhou, China.
Xianshengzhou is committed to providing artificial intelligence empowerment solutions for enterprises, implementing county specific application scenarios, and solving practical pain points.
Our self-developed products include AI knowledge base, AI office system, enterprise agent, local deployment, AI laboratory, AI customer service, AI robots, etc.
At present, AI tool customization and development services have been provided to dozens of enterprises in the tea industry, beauty industry, and manufacturing industry, and have received widespread praise.
Innovative technologies: including self-developed structured knowledge base algorithms and OCR free document recognition algorithms.
We dare to constantly iterate and use the latest AI models to ensure that our product output is at the forefront of the world;
In depth industry: The founder has experience in providing corporate strategic consulting services and has a better understanding of the pain points of the enterprise than typical pure technology AI companies;
Effect priority: We dare to challenge long tail scenarios that are difficult to solve, and even if it takes a lot of time and effort, we must optimize the customer experience;
Human machine integration: When building a knowledge base, simple algorithms cannot solve customer problems, so we use people to organize the knowledge base to ensure optimal product quality
