Soundsensing, a Norwegian startup, is pioneering the acoustic field with its innovative noise monitoring technology. The company’s flagship product, the Soundsensing dB20 sensor, is designed to address the growing issue of sound pollution by leveraging advanced machine learning and local processing capabilities. This sensor is versatile, easy to use with just one button, and can operate on an internal battery or be installed permanently. It offers integrated data communication, real-time data access via API and dashboard, and built-in sound source identification using artificial intelligence (AI).

Soundsensing primarily serves clients in general noise monitoring, workplace noise monitoring, and industrial monitoring. These clients range from businesses concerned with workplace health and safety to industries needing to monitor and manage noise levels for regulatory compliance and operational efficiency. The market it operates in is the acoustic monitoring sector, which is increasingly recognizing the need for advanced tools to handle sound pollution.

The business model of Soundsensing revolves around selling its dB20 sensors and providing associated data services. The company generates revenue through the sale of these sensors and potentially through subscription-based access to its real-time data and analytics platform. This platform allows clients to monitor noise levels, detect changes, and ensure compliance with privacy regulations like GDPR.

In summary, Soundsensing is at the forefront of integrating machine learning and local processing into the acoustic field, providing a comprehensive solution for noise monitoring and management.

Keywords: noise monitoring, sound sensor, machine learning, local processing, AI, workplace safety, industrial monitoring, GDPR compliance, real-time data, Norway.