BOLOM ACOUSTIC INTELLIGENCE
THE EARS OF THE MACHINE
Bolom enables machines to hear and understand the real world in real time, making autonomous systems safer and more responsive.
Industry Challenges
Modern automotive cabins increasingly isolate occupants from external sounds, reducing driver awareness of critical hazards such as sirens, horns, and traffic events. As vehicles, robots, and smart devices become more autonomous, machines must independently perceive and interpret acoustic events in real time to ensure safety and situational awareness.
Product Solution
Most existing sound-AI solutions stop at basic detection and alerts without understanding environmental context. Bolom Acoustic Intelligence combines high-accuracy Acoustic Event Detection (AED) with real-time Acoustic Scene Analysis (ASA), enabling machines to interpret what is happening - not just that a sound occurred.
KEY FEATURES
AI Scalability
- Three deployment tiers: Base, Small, and Tiny models optimized for performance, power, and memory
- Variable context window: 2-30 seconds configurable for latency vs. accuracy trade-offs
- Multiclass detection: classifies hundreds of simultaneous acoustic events
- Label subset support: Easily manage and customize label sets for your specific use case
Performance
- Up to 97% predictive accuracy in internal real-time benchmarks
- Base Model achieves performance comparable to BEATs with real-time streaming
- Tiny Model outperforms YAMNet at approximately 50% smaller model size
Integration
- Supports internal and external microphones
- Processor-agnostic deployment on automotive SoCs, embedded CPUs, and AI accelerators
- Available as:
- Audio Weaver native integration
- Standalone production SDK
Use Cases
- Automotive ADAS and in-cabin safety
- Robotics and autonomous systems
- Smart home and security
- Industrial monitoring

A WORD FROM BOLOM
“Bolom gives machines real-time hearing and contextual sound understanding. Our AI runs fully on embedded hardware and integrates natively with Audio Weaver. This enables safer autonomy for cars, robots, and smart environments.”