Ex-Uber team raises $6M seed for geospatial analytics platform Unfolded.ai
Years ago, Uber had a problem. With millions of users and tens of thousands of drivers scattered across a widening expanse of the globe, the fast-growing mobility startup wanted to display more accurate maps to users about where their ride was coming from and where it was intending to go to reach its destination. The challenge is that geospatial datasets can easily reach into the petabytes, so how do you transmit and visualize such data particularly on mobile?
“We were tasked with this massive planetary dataset,” Sina Kashuk explained about the purpose of Uber’s data visualization team, and “if money wasn’t an object, how would you architect this so that it would have the best performance?” That was the active problem that confronted a quad of engineers and data scientists tasked with solving the problem. Kashuk, Shan He, Isaac Brodsky and Ib Green collectively spent about 16 years at Uber, and