The API can be integrated into apps, programs, and products to provide accurate and up-to-date pollen data
Spotted: Around 22 per cent of the global population suffers from pollen allergies that can cause anything from day-to-day discomfort to chronic illness. Real-time data could help sufferers plan for their symptoms and develop solutions. But tracking the pollen count is a complex process, and many forecasts only provide a broad estimate. Ambee, an India-based climate and environmental data provider, has created Asia’s first pollen-tracking API that provides real-time pollen count data from across the world.
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.
The API can be integrated into websites, apps, and other products that require real-time, accurate pollen data. It’s already used by healthcare, pharma, and weather companies – such as Kleenex, which has seen a 200 per cent increase in its website traffic after using Ambee’s pollen data to market its anti-allergy product.
Springwise has recently spotted other innovations in the growing health tech market. One startup collects sleep data to provide personalised brain training that improves sleep quality, a smart device helps users with sedentary lifestyles move more.
Written By: Joanna Robertson