Step 1
Physical activity
Vehicles, machines, structures, and environmental events generate continuous sound and vibration signals.
Building the listening layer for real-world AI.
LifeSeis develops machine listening technology for real-world AI. By combining sound and vibration sensing in physical environments, we enable intelligent systems to hear and understand motion, activity, condition, and change across the spatial world.
How sound and vibrations become intelligence.
Every movement, vibration, and environmental change leaves a physical signature. LifeSeis captures these signals and uses physics-grounded AI to decode them into structured, machine-readable context.
Step 2
Encoded signals
These physical signals carry hidden information about sources, pathways, structures, and changes.
Step 3
AI-decoded context
Physics-grounded AI turns encoded waveforms into interpretable events, patterns, 3D structures, and real-world context.
AI sensing platform for the 3D physical world.
LifeSeis combines distributed sensing, physics-based signal modeling, and AI inference into a unified listening layer for the 3D physical world. Our products provide deployment pathways across digital transportation, infrastructure health monitoring, and natural-hazard early warning.
Digital transportation
A real-time transportation system that turns vehicle-generated sound and vibration into digital traffic, road, 3D subsurface, and infrastructure intelligence.
Urban environments
Turns urban sound and vibration into real-time intelligence for infrastructures, mobility, events, noise, and weather response.
Nature hazards
An AI-driven natural-hazard monitoring system that detects and interprets natural events in real time across multiple scales.