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Born from a personal health mission
The beginning of Ambee, 2017
In 2017, Ambee's co-founder and CTO Madhusudhan Anand, discovered that the air quality monitoring station nearest to his home was miles away and vastly underreporting local conditions. When his infant son began showing unexplained health symptoms, Maddy built his own sensor and found that the actual air quality exceeded acceptable levels by almost 60%.
That experience became the founding belief behind Ambee: that environmental data, as it existed, could not be trusted at the local level. Everything Ambee has built since is a response to that problem.
Bengaluru, mapped at street level. The first Ambee heatmap
Ambee began by deploying proprietary sensors to collect street-level data that simply did not exist elsewhere, then testing that data against official sources to quantify the gap. The first datasets followed. Air quality. Then pollen. Each dataset opened a category of intelligence that leading global organizations had no other way to access. Wildfire. Natural disasters. Flu risk.
Each addition followed the same founding logic: climate affects everything, and properly calibrated, hyperlocal data had always been the missing variable.
Where data became decisions
As the datasets grew, so did the scope. Wildfire. Natural disasters. Flu risk. Each addition followed the same founding logic: climate affects everything, and properly collocated data had always been the missing variable.
The world's most demanding organisations took notice. Fortune 500 companies and household names in pharma, consumer health, and media chose Ambee.
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