An API provides real-time pollen count data globally

Real-time data could help sufferers plan for their symptoms and develop solutions

The impact of pollen is often underestimated. It is not simply a case of runny noses and tickly throats. Pollen can also exacerbate lung conditions such as asthma and Chronic Obstructive Pulmonary Disease. Tools like Ambee’s are therefore crucial as they help people to manage their exposure.

Ambee uses machine learning to combine information from on-the-ground sensors, satellite imagery, and statistical inference. This increases the accuracy of the dataset, which provides pollen count and risk levels for more than 90 species of pollen, including tree, grass, and weed pollen.

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