The first digital solution
you can trust

...where smart cities, Internet of Things, artificial intelligence and clean tech meet


Step 1: IoT Sensor Network

Our installed network of proprietary low-cost, highly reliable air quality sensors delivers high quality environmental data in real time. Across specified areas the sensors collect spatial and temporal data on pollutants and environmental conditions. This bottom-up data collected in the field provides a much higher granularity and better data coverage than the public data. We measure all critical pollutants as recommended by WHO: NO2, PM2.5, PM10, Ozone and various environmental parameters.

Step 2: Machine Learning & AI

Hawa Dawa's artificial intelligence and machine learning approach refines the air quality measurements delivered by our sensors: real time sensor data is cross-calibrated to ensure even more accurate measurements;  interpolation between data points enables comprehensive coverage over an area; simulation of pollutant flows and dispersion provides insight into the underlying behaviour of pollutants; and the analysis of historical data enables us to run forecasts. New data points such as traffic data can be integrated to deliver new insights. The real time sensor data is used to train and cross-calibrate AI algorithms and refine our air quality heatmaps.

Step 3: Data Mining

We complement our sensor data with open and industrial data sources as well as data from standard governmental measurement stations. To provide the highest possible resolution of air quality we include land use cartography for geographical and climatic data as well as governmental measuring stations for traffic data.

Step 4: Satellite Data

In collaboration with partners at the European space agency (ESA) and the ESA-BIC, we complement and enhance our data sets with the latest data from EU and US satellites. This information about air pollution, weather, local and regional pollution hotspots extends the data from Hawa Dawa's ground-based sensor network for extended coverage and deeper insights into the broader context of air quality.

Step 5: Data Processing & Refinement

The Hawa Dawa environmental data platform imports datasets into calibrated statistical models in order to provide reliable, highly granular data compatible with EU-regulated air quality monitoring standards. The results are comprehensive air quality maps with a resolution of up to 100 x 100 metres - a reliable basis for eco-sensitive traffic management, eco-routing, real estate valuation and many other Use Cases. Our approach eliminates the need for expensive, analogue monitoring techniques offering a reliable, digital solution.

Step 6: Product Development

Our service doesn't stop with the delivery of our heatmap or API. We work actively with our customers and partners to co-design data products that best fit their specific needs and integrate seamlessly into existing datasets and decision-making processes.


When it comes to IoT-based air quality monitoring, data quality can be the boom or bust for this newly emerging field. It is easy to create measurement graphs using low-cost sensors. Truly measuring what you want to measure however - whilst grasping the effects of sensor cross sensitivity, sensor drift, weather influence - requires a whole set up of different skills (find out about our team here). As a pioneer in this field, Hawa Dawa masters the balance between providing a reliable, accurate and stable solution whilst being able to offer what we do at scale.

We have undertaken extensive testing with partners such as the Fraunhofer Research Institute, the Technical University of Munich as well as German and Swiss Environmental Protection Offices. This ensures that our affordable, CE certified devices provide the highest possible standard of data quality according to the EC Air Quality Directive 2008/50/EC.


Environmental Data API

The straightforward and versatile Application Programme Interface (API), provides access to the Hawa Dawa air quality database to your core systems and applications. Data queries for real-time sensor values are supported as well as coordinate-based queries for historical air quality data.

The API delivers highly granular spatial and temporal air quality measurements and air quality indices. Your air quality data is easy to access, easy to analyze and tailored to your needs: it can be integrated seamlessly into your automated or manual decision-making processes.

Real-time Heatmaps

Gain deeper insights into how, when and why pollution builds up – find hotspots and calculate average pollutant levels. Using the Hawa Dawa heatmaps, you can create specific strategies to tackle air pollution, ease traffic flows and monitor the effectiveness and impact of your measures.

Our easy-to-use dashboard enables you to quickly compare current and historical data and integrate air quality into your everyday decision making