EOS Data Analytics utilizes geospatial data analytics and satellite technologies to support agriculture, forestry, and sustainability efforts globally.

EOS Data Analytics

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Chief Executive Officer

Artiom Anisimov

Sales and Support

Dann Stubblefield

Maksym Kobysh

Marketing and Product

Maksym Vozhakov

Human Resources

Olga Bezliudna

Stanislav Poruban

Alexander Korznikov

Healthcare

Anastasiia Khil

Engineering

Artur Tischenko

Bogdan Danilyuk

Mark Watt

Max Polyakov

Founder and CEO

Mikhail Vorona

Software developer

Software Companies With Less Than $500M in Revenue (Top 10K)

Western US Seed Stage Companies With Less Than $1B in Revenue

West Coast Companies With Fewer Than 1000 Employees (Top 10K)

Menlo Park Companies

EOS Data Analytics (EOSDA) is a global provider of AI-powered satellite imagery analytics founded by Dr. Max Polyakov, an international space technology and IT entrepreneur and philanthropist. The company operates worldwide, partnering with governmental, commercial, and scientific organizations.

The company provides Earth observation solutions for smart decision-making in 22 industries, with the main focus on agriculture and forestry. We combine data retrieved from satellite imagery with AI technologies and proprietary algorithms to analyze the state of crops within farms and trees growing in forest stands to drive businesses, implement sustainable practices globally and tackle climate change with no financial losses or additional effort.

EOS Data Analytics is headquartered in Menlo Park, California.

Horizon 2020

Grant - EOS Data Analytics

Seed Round - EOS Data Analytics

Noosphere Ventures

Venture Round - EOS Data Analytics

Computer and Software Services and Scientific Services

Menlo Park

California

United States

North America

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A digital tool for agriculture to remotely assess crop health, optimize farm management, and improve the efficiency of resource use.

Software designed to support sustainable forestry through data-driven decisions.

An online tool that provides geospatial technologies for extracting valuable information from big data for business applications.

A service for classifying crop types using satellite data.

A service that predicts crop yields based on satellite imagery analytics.

A service for monitoring the dynamics of the harvest process using satellite data.

Brazil

South America

Spain

Europe

Venezuela

Mexico

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EOS Data Analytics