Hawa Dawa’s AI-based Air Quality Monitoring Solution Successfully Competes with Traditional Methods

February 21, 2023




Hawa Dawa’s AI-based Air Quality Monitoring Solution Successfully Competes with Traditional Methods


Revolutionizing Environmental Monitoring through Cutting-Edge Technology and Innovative Approaches


Munich, February 2023: OpenAI’s ChatGPT has made artificial intelligence more accessible to the public, enabling people to witness the capabilities of AI in their daily lives. Recognizing the potential of AI in environmental monitoring, Hawa Dawa has integrated AI into the core of its air monitoring method from the very beginning. The Hawa Dawa solution leverages the advantages of AI, including increased efficiency, improved accuracy, and better decision-making, to provide a comprehensive and accurate picture of the environment.

Hawa Dawa’s innovative approach to environmental monitoring has resulted in significant cost savings, full scalability, and continuous improvements to the product. TÜV Süd and multiple direct comparisons with alternative solutions confirmed the reliability and accuracy of Hawa Dawa’s method.

Hawa Dawa’s Sentience System recently faced a critical challenge when it won a tender in one of Europe’s largest capitals. The solution was benchmarked against competitive hardware products from two traditional hardware manufacturers, comparing Hawa Dawa’s AI-based solution with air quality monitoring relying on pure hardware. Despite the constraints of the evaluation, which did not allow further training of the AI after deployment and the loss of the training station in Munich, Hawa Dawa’s solution outperformed the competitors in two of three accuracy-related categories.

The conclusion of the evaluation is clear: AI-based air quality monitoring can replace traditional, costly, and bulky hardware-centric measurement methods without compromising accuracy. The robust AI developed by Hawa Dawa delivered acceptable results even under unfavourable conditions and has the potential to provide even higher accuracy levels with full leverage of the AI-based models and continuous improvements through machine learning. The results of this comparison are available upon request.

“At Hawa Dawa, we believe in the power of AI to revolutionize the way we monitor air quality,” says Karim Tarraf, CEO and Co-Founder of Hawa Dawa. “Our recent evaluation against two traditional hardware manufacturers, even under challenging conditions where we were unable to further train our AI algorithms or calibrate our devices, confirms that our AI-based solution can deliver robust and accurate results that rival traditional methods.”

Hawa Dawa is proud to revolutionize the field of environmental monitoring through its cutting-edge technology and innovative approaches. To learn more about Hawa Dawa’s solution, please contact  sales@hawadawa.com.

About Hawa Dawa:

Hawa Dawa forms the basis for a new digital knowledge network for resilient and climate-neutral cities and future-oriented companies. The focus is on facilitating the use of meaningful environmental data in decision making. Hawa Dawa compiles air quality data from all available sources, from satellites to ground-based public monitoring stations to IoT sensors, and correlates it with use case-specific data, such as traffic. These insights are made available on intuitive dashboards, annotated APIs and deep-dive analytics reports. The data covers the full range from historical to real-time to predictive and simulation.

Hawa Dawa leverages state-of-the-art sensor technology, IoT, AI, machine learning, and cloud services to provide A-class air quality data at high spatial and temporal resolution.

The international team consists of engineers, software specialists and data analysts, experts in sensor technology, satellite and traffic modelling, and business developers.

Hawa Dawa covers the entire spectrum: from consulting and data management to analysis and forecastings, complemented by proprietary hardware that enables enhanced coverage with relevant measurement points both temporally and spatially.

For more information, www.hawadawa.com .