We're unlocking air quality for the masses using big data, artificial intelligence and the internet-of-things.READ MORE
To provide unparalleled insight into air pollution across space as well as time, we make use of sensors placed on pre-existing, moving assets such as public transportation. We deploy a fleet of these sensors and make use of network transmission technology as well as self-calibration in order to minimise communication, infrastructure, and maintenance costs to bring an affordable and effective solution.
Cloud-based smart algorithms and artificial intelligence allows AQI data to be calculated in areas with few or no devices. Background data such as weather, traffic, and flight movement combines with surrounding measurements, to provide real-time updates at a specified accuracy level as if the area was being monitored directly. This measurement framework becomes more accurate with time.
Data from one of our wearable or stationary sensors collects air quality information near users.
Instant processing on raw data is available to the user through our mobile app.
A network of many users builds a large-scale granular pollution map.
All users receive predictive air quality data from our granular pollution map
Businesses track employee exposure to air pollution through our analytics portal
Our data insights help governments track air quality and inform policies
Our dynamic sensors are specially designed to measure data from moving vehicles. But this does not stop at air pollution data: our system is modular, allowing much more to be measured on each device.
Currently, we are exploring measuring noise, footfall, traffic analysis, and more.
We're out to make a single air quality monitoring network to rule them all. The more data we crowdsource, the better we can understand the spread and impact of air pollution - helping the world build better solutions.VISIT AIR EDUCATION