The Foobot team was pleased to find in BreezoMeter the same vision for highly accurate data.
BreezoMeter’s hyperlocal outdoor air quality is produced using big data analytics, cutting-edge algorithms, and machine-learning techniques, in order to keep pace with the complexity and fast evolution of air pollution. The investment in data visualization to make air quality intelligible was another element that convinced Foobot to partner with BreezoMeter.
“We saw that all the other solutions out there just provide raw, unanalyzed and unverified data that is not actionable nor understandable to our users, and even worse, in many times it is not accurate” says Jacques Touillon, the Co-Founder and CEO.
The global and unified air-quality index provided by BreezoMeter increase the positive opinion towards BreezoMeter. Foobot was well aware of the issue that pushed BreezoMeter’s R&D team to develop its own scale: each country has a different air quality index, for indoor and outdoor air, based on regulations, making the launch in new countries a true headache unless there is a global approach.