Give machines an acoustic sense of place.

Perceive events, localize sources, understand intent and act with spatial context.

Design your integration
A quadruped robot perceiving an industrial acoustic scene

What the system understands

Hear the environment

Detect alarms, voices, impacts and machine-state sounds across space and time.

Locate and track

Estimate direction and distance, then maintain source tracks while the robot moves.

Interpret the scene

Associate sound with objects, zones, activities and operational context.

Coordinate action

Share scene state with planning, control and fleet systems for coordinated response.

Reference architecture

Sensing layer

Arrays, sensors and device context

Edge processing

Signal front-end and embedded inference

AOS Runtime

Scene state, policies and orchestration

Application layer

Products, robots and spatial systems

Cloud & integration

Operations, analytics and enterprise APIs

Ways to build

01

Algorithms & SDKs

Modular acoustic perception and spatial understanding capabilities for product teams that already own the application and hardware experience.

02

AOS Runtime

A deployable operating layer for teams that need model services, scene state, policies, device coordination and observability in one system.

03

Reference Modules

Reference sensing and edge-compute designs combine recommended hardware topology, software configuration and validation methods for a defined scenario.

One company.
Two operating strengths.

Hong Kong

Brand management, global market development, intellectual property, capital interface and international partnerships.

Mainland China

Research, product engineering, application validation, delivery capability and business development foundations.

What should the world understand next?

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