AI Employee with unlimited memory and human-like writing styles

JMuse AI Employee can memorize all the enterprise knowledge、mimic a person's work styles, and meets all the regulatory and compliance requirements, ，help a company to have multiple "second brain", greatly improve organizational efficiency.

Our Advantages

Unlimited Memory： Unlike traditional LLMs, which has a "knowledge cutoff", JMuse's technologies enable the model itself to continuously learn the newest knowledge and corporate documents
Human-Like： compared to the "LLM language" that you get from other chatbots, JMuse learns your language style and tone, and mimic the way you talk, nobody will tell the difference : )
A better RAG：RAG takes quite some time to setup, and can be inaccurate oftentimes, with JMuse, you can unlock your team’s full potential with a better RAG – more accurate, reliable, and auditable way to build production-grade AI systems.

Use Cases

Automated Doc Generation

No matter it's insurance claim for insurance companies, industry report for market research, or quality report for smart factories，JMuse can write the document for you.

Enterprise Knowledge Mgmt

Private Domain's Knowledge Management System can be used within an organization for knowledge management, employee training, problem consulting, and improving workflow within the organization.

Sales/Customer Support

JMuse CSR can learn and acquire all the company documents, past conversation histories, and use a human's tone to talk to customers, greatly reducing the cost and improve customer support efficiency.

Jerry Ding

Founder，CEO

Jerry received his B.S. in Computer Engineering and M.S. in Machine Learning from Carnegie Mellon University. During his research at Carnegie Mellon includs real-time self-updating algorithms, and controlled LLM generation. After graduation, he worked at Amazon AWS as a software engineer and Redshift High Performance Computing Team Lead. Convinced of the great potential of AI technology in expanding the boundaries of individual capabilities and improving the efficiency of enterprises, he returned to China and founded JMuse Technology.

Bhiksha Ramakrishnan, PhD

Technical Advisor

Prof. Bhiksha Ramakrishnan is a Professor at Carnegie Mellon University; his research interests is focused on large models and privacy/security in neural networks. He works on specialized architectures for model noise robustness, signal processing, learning, and information routing.
In addition to all of these topics, one of his research priorities is privacy and security controllability of algorithms. His team continues to develop various cryptographic and other techniques to address the security and controllability of current algorithmic models.

Yong Ding, PhD

Chairman

Dr. Yong Ding is a PhD from the Chinese Academy of Sciences. He was an assistant professor and postdoctoral researcher at Okayama University in Japan, a researcher and visiting scholar at the University of Arizona, and the principal engineer at Intel. He returned to China in 2003 to start his own business as a co-founder of Broadex Technologies. Dr. Ding led Broadex Technologies to go public on the Shenzhen Stock Exchange in 2016. Dr. Ding is currently the director of Broadex USA, Broadex UK, the chairman of Shanghai Edzan Medical Technology Co.