Show notes
Today, I am speaking with Abe Tarapani, CEO of Atlas AI.I wanted to feature Atlas AI as “Startup of the Month” on the podcast as I believe they are doing something very important and impactful with satellite data. I will let you listen to Abe explaining what Atlas AI does, but to give you an idea, they are attempting to fill the gaps in socioeconomic and environmental data across parts of the world that don’t have access to such data, leveraging Earth observation and machine learning, thereby making sure that significant economic and infrastructure-related decisions in those countries can be made efficiently.In this episode, Abe and I discuss the problem Atlas AI is trying to solve and why their approach is different from a typical data company, their product strategy and knowing where to draw the line, why they publish details about their science & methodology, the recent announcement on the project with the Rockefeller Foundation and e-Guide, the need for the advisory service layer in EO and more.Atlas AI's websiteRockefeller Foundation's project with Atlas AI---01:15: Intro & Abe’s Story04:29: The elevator pitch of Atlas AI07:44: The problem Atlas AI is trying to solve and why is different from a typical Earth observation company13:28: Atlas AI’s technology stack, products and target markets21:12: Product strategy - how to draw the line: Atlas AI’s perspective24:42: Do Atlas AI’s customers care where the data comes from28:41: Why publish the scientific methodology behind the product and why it could be important33:05: The project with the Rockefeller Foundation and e-Guide40:30: Thoughts on the state of EO and the need for the advisory service layer in EO49:26: Wrap-up