
BatterMachine is an emerging startup at the intersection of AI and Energy, specializing in the application of machine learning to enhance battery management. Their vision is to lead the world in AI-powered sustainable energy solutions and become a global leader in AI & Battery Management Software. Their core offerings include the Battery Machine Learning Framework (BatMF) for applying machine learning to estimate battery states, a BMS Platform Software Architecture service focused on safety and flexibility with ASIL C/D expertise, and Machine Learning-based Applications that accurately estimate battery states like SOC, SOH, SOF, and RUL for various applications including automotive BMS, energy storage systems, and fast charging. The company is founded by Dr. Rory Lee (CEO/CTO) and operates with a team including COO Dr. Matt Jung and CPO Joey Lee, with offices in Seoul, South Korea and Shenzhen, China. They aim to revolutionize battery technology by leveraging AI and machine learning, targeting a growing market estimated to reach $30 billion by 2030 with AI integration.

BatterMachine is an emerging startup at the intersection of AI and Energy, specializing in the application of machine learning to enhance battery management. Their vision is to lead the world in AI-powered sustainable energy solutions and become a global leader in AI & Battery Management Software. Their core offerings include the Battery Machine Learning Framework (BatMF) for applying machine learning to estimate battery states, a BMS Platform Software Architecture service focused on safety and flexibility with ASIL C/D expertise, and Machine Learning-based Applications that accurately estimate battery states like SOC, SOH, SOF, and RUL for various applications including automotive BMS, energy storage systems, and fast charging. The company is founded by Dr. Rory Lee (CEO/CTO) and operates with a team including COO Dr. Matt Jung and CPO Joey Lee, with offices in Seoul, South Korea and Shenzhen, China. They aim to revolutionize battery technology by leveraging AI and machine learning, targeting a growing market estimated to reach $30 billion by 2030 with AI integration.