the idea behind
At SouniQ, we rethink how sound is measured. Traditional methods focus on analyzing sound as a mix of pure sine waves using tools like Fourier transforms and spectrum analysis. While this works for measuring overall sound energy, it often misses the details that actually matter.
These standard methods tend to overlook timing and especially the quieter, short-lived sound events—known as transients. Yet, it's those transients that play a key role in how the human ear understands sound. Our ears are much more sensitive to quick sound pulses than to steady tones.
That’s why our patented technology, EarQuake, focuses on what people actually hear. It captures those subtle changes and fast signals that conventional tools ignore, giving you a far more realistic and precise understanding of sound quality.
Embedded intelligence
SouniQ sensors combine advanced acoustics with embedded signal processing, where all computations are performed directly inside the transducer in real time. This eliminates the need for external data acquisition or post-processing.
All signal processing, feature extraction, and decision-making take place locally within the sensor. This significantly reduces system complexity and removes the need for additional hardware, cabling, and integration.
Thanks to the efficiency of the fingerprinting technology, the entire processing pipeline runs on a low-power microcontroller, eliminating the need for power-hungry and costly neural processing units (NPUs) or edge AI accelerators.
The result is a robust, scalable, and cost-effective solution with lower installation costs and faster deployment.
The technology
EarQuake™ is SouniQ’s proprietary acoustic fingerprinting technology, inspired by the way the human ear processes sound. By mimicking the cochlea’s behavior through critical band filtering and incorporating psychoacoustic effects such as masking, EarQuake™ focuses on what is actually audible—not just what is measurable.
This approach enables the system to extract stable and meaningful acoustic fingerprints from complex signals, allowing precise detection and classification of events that traditional methods often miss.
Optimized for real-time execution, EarQuake™ runs efficiently at the edge, delivering fast and reliable decision-making without the need for heavy processing or external systems.
The result is a robust, low-power solution that combines human-like perception with advanced signal processing—enabling accurate, scalable, and cost-effective acoustic monitoring.
Key Benefits
- Objective, human-like sound analysis
- Fast automated quality control
- Early fault detection
- Accurate issue classification
- Eliminates subjective evaluation
- Prevents failures and reduces cost
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Quick and easy commissioning
Meet the Founders
SouniQ was founded by Brian Johansen and Cecilia Adelborg-Beck, combining decades of experience in acoustics with a clear sense of vision, direction, and identity. While Brian leads technology and innovation, Cecilia drives the broader mission – ensuring everything we do connects with people and purpose.
Explore more of the technical contributions:
Human Like Ear Simulator (patent)
Detection of machine failure based on biologically based models (patent)
Connect with SouniQ!
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