Juntong Future Technology
An AI digital intelligence security service provider focusing on AI governance and compliance challenges.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | CNY20.0m | Seed | |
| Total Funding | 000k | ||
Juntong Future Technology, operating as JuntongAI, is a technology firm established in 2024 and based in Hangzhou, China, specializing in artificial intelligence risk management. The company was founded by CEO Dr. Han Meng and COO Lin Changting. Dr. Han possesses a Ph.D. in Computer Science and an MBA from Georgia Institute of Technology and Georgia State University, respectively, and has a background in academia with tenure at a U.S. university before returning to China. Co-founder Lin Changting holds a Ph.D. in Computer Science and Technology from Zhejiang University and has conducted postdoctoral research in Cyber Security.
The company targets the growing security and governance challenges accompanying the widespread adoption of generative AI and large language models. JuntongAI provides a suite of products and services designed to ensure the safe and reliable deployment of artificial intelligence. The core business revolves around AI risk governance, offering solutions that include full-process model compliance validation, scenario-based model monitoring, and multi-dimensional security protection. These services cater to AI developers and users who need to ensure their models meet functional, reliability, and compliance standards. By addressing inherent security risks through testing and assessment, and protecting models from external threats, the company enables AI to function as a trusted substitute for human cognitive labor.
In September 2024, Juntong Future Technology successfully secured tens of millions of yuan in an angel and seed funding round. The investment was co-led by Delian Capital and Linhui Venture Capital, indicating investor confidence in the company's approach to AI security governance. The firm's strategy includes contributing to the open-source community by developing attack risk systems, open-source attack detection models, and benchmark testing data to help enterprises mitigate the risks associated with large language models.
Keywords: AI risk management, AI governance, large language model security, model compliance validation, model monitoring, AI security protection, trustworthy AI, generative AI safety, AI model testing, AI risk assessment, enterprise AI security, AI reliability, Han Meng, Lin Changting, Delian Capital, Linhui Venture Capital, Hangzhou, AI safety solutions, model management, artificial intelligence security