Affordable Air Quality Monitoring Networks with Regulatory-Grade Accuracy Combined with Contextualized Analytics

We offer an affordable solution for area-wide, continuous ambient air quality monitoring. Our monitoring network provides real-time, meaningful, and reliable data traceable to accepted standards.

We merge cost-efficiency and certified quality and deliver a one-stop solution from collecting reliable data up to contextualized and actionable insights for fact-based decision making.

Affordable, certified quality
- The accuracy of our measurement method has been certified by an independent auditing body
  more about the certification here
- Smart deployment of AI, IoT, and state-of-the-art sensor technology makes high-quality measurement method affordable
  more about our technology here
- Robust solution, which is field-proven in many European cities
  find selected references here
Highly granular, real-time data
- Easy data access on dashboards (more here) or integration through APIs (more here)
- Real-time data allow for risk mitigation and active management
  more about use cases here
Contextualized Insights
Contextualized insights through correlation with geo/traffic, meteorologic, health, and socio-economic data
- We put the air quality data into a meaningful context
- Contextualized insights build a valuable basis for fact-based decisions
Advanced analytics unveil air pollution patterns and hotspots and deliver starting points for mitigating actions
- Deep insights help to prioritize efforts and budgets
- Understanding repeating patterns of air pollution is a first step toward developing dynamic countermeasures

Air Pollution at Playgrounds
Dedicated views on points of interest such as playgrounds, schools, or hospitals build the basis for reducing the exposure of risk groups
Vulnerable Population Exposed to High Air Pollution Levels
The correlation of air pollution data creates contextualized insights – the actionable basis for fact-based decisions.
Income Level Correlation
Putting air quality data into the context of socio-economic data, such as income, or education, creates deep insights for advancing environmental equity.
Heatmap of air pollution
Based on point measurements our self-learning algorithm creates area-wide, full-coverage heatmaps

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Affordable Air Quality Monitoring Networks with Regulatory-Grade Accuracy Combined with Contextualized Analytics

Air Pollution at Playgrounds

Vulnerable Population Exposed to High Air Pollution Levels

Income Level Correlation

Heatmap of air pollution

A selection of cities that trust us