Founded by three Stanford professors, Atlas AI has pioneered new ways to estimate socioeconomic indicators by combining high-resolution satellite imagery and other data with the latest advances in artificial intelligence. They are using these cutting-edge techniques to build an accessible analytics platform to analyze and predict crop yields, economic well-being, and other indicators at fine resolution across the developing world.

Information Technology

Atlas AI

Atlas AI's headquarters in Palo Alto, CA, United States

Abe Tarapani

Georgios Ouzounis

Vivek Sakhrani

Zia Khan

Stefano Ermon

David Lobell

Marshall Burke

Kieran Snyder

The Data Science & Engineering team at Atlas AI leverages high-resolution satellite imagery and advanced AI techniques to develop analytical models and predictive tools for assessing socioeconomic indicators. They work collaboratively to process and analyze spatial data, implement machine learning algorithms, and build scalable software to enhance the accessibility of insights related to crop yields, economic well-being, and various other key metrics, with a focused impact on the developing world.

Data Science & Engineering

The Leadership Team at Atlas AI spearheads the company's strategic vision and direction, guiding the development and implementation of innovative AI-driven analytics solutions. Comprised of the co-founders and key executives, this team collaborates to forge partnerships, drive research initiatives, and ensure that Atlas AI remains at the forefront of socioeconomic analysis, ultimately enhancing its impact on the developing world.

Leadership Team

Atlas AI

Org chart

Board & advisors

Teams

Data Science & Engineering

Leadership Team

Innovation Team

Offices

Atlas AI

Org chart

Board & advisors

Teams

Data Science & Engineering

Leadership Team

Innovation Team

Offices

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