AirSensa specialises in the collection and analysis of environmental data to gain a real-time picture of hyper-local air pollution
We create urban sensor meshes of hundreds or even thousands of sensors, depending on the city size, to monitor air quality.
Hyperlocal means that you can understand what is happening with air pollution at that moment, at your home, at your workplace and when you’re travelling within urban areas.
External air pollution comes from a wide variety of sources. Traffic of course (including public transport) but also central heating systems, industrial operations, waste sites, energy generation, aeroplanes, shipping, and even agriculture. There is no simple answer to reducing air pollution in the near future, so it’s best to plan to avoid it – and for that, you need much better data.
AirSensa builds sensor meshes comprising hundreds or thousands of relatively low-cost sensors, connecting them to our highly scalable STORRM software platform to collect real-time, granular, continuous readings that lead to much more accurate mapping of pollution, including real-time identification of ‘hot spots’ and unexpected blooms of pollutants. Our mission is to generate the data needed for companies and government authorities to make informed choices.
The meshes can be installed in partnership with local government or for large industrial and commercial customers – for example, manufacturing, energy generation, the chemical industry, waste facilities, housing estates, and hospitals all have good reasons to monitor their polluting episodes (or lack of them), to demonstrate a duty of care and provide a defence against future litigation.
Schools and Sports Venues
Why is this solution needed?
The only real data available today is produced by governments for statutory reporting; however, that data is based on modelling from very few measurement points and, as a consequence, is not useful for real-time or accurate determination of harmful pollutants. It is also therefore not useful for addressing the harmful health impacts and suffering that air pollution causes today. We can’t manage what we don’t measure, so the challenge is to generate much better, more localised data, and that can only be done by installing many more measurement points, greatly increasing the localised data available, so being able to generate a far better understanding and in real-time.