All mechanical motion, structural change, and energy exchange generate and propagate sound and vibration. LifeSeis develops Machine Listening technology to capture and interpret these acoustic and elastic wave signals in urban environments, converting fundamental physical information into actionable insights.

While most current AI systems focus primarily on vision, the intelligent interpretation of sound and vibration remains largely underdeveloped. As a result, robots, autonomous vehicles, and digital infrastructure still lack a complete understanding of the physical world. Originating from the field of geophysics, LifeSeis builds AI models grounded in physical principles to identify, quantify, and interpret the sources of sound and vibration and the processes that generate them.

Machine Listening is a platform technology with broad applications across modern society. LifeSeis solutions enable digital traffic monitoring through sound and vibration sensing, detecting subsurface changes, and providing continuous monitoring of infrastructure such as bridges, slopes, and buildings, among many other applications.

LifeSeis was founded by leading geophysicists Jie Zhang and Mark Zoback, both members of the United States National Academy of Engineering with extensive academic and entrepreneurial experiences. The company’s mission is to enable AI systems to hear as well as see, creating comprehensive environmental awareness and empowering machines to match, and in many cases surpass, human perception of the physical world.