Hydrosat is a satellite data company delivering insights into plant health for commercial, financial, and government partners across the globe.

Information Technology

Hydrosat

Hydrosat's headquarters in Washington, DC, United States

Pieter Fossel

Full Stack Software Engineer

Aaron Freeman

Albert Abelló

Joshua Fisher

Demir Devecigil

Luc Majdalani

Idris Habbassi

Brett Blom

Rebecca McGinley

Royce Dalby

Lori Garver

Ryan Johnson

Andy Dearing

Adam Niewinski

This department focuses on designing, developing, and maintaining software applications and systems.

Software Engineering

The Board Members at Hydrosat provide strategic direction, governance, and oversight to ensure the company meets its objectives in delivering satellite data insights into plant health. They make high-level decisions, guide overall company policy, and support executive leadership in driving Hydrosat's growth and innovation.

Board Members

This department focuses on the development and implementation of machine learning algorithms and models to drive data-driven decision making.

Machine Learning

This department focuses on designing, building, and managing data systems to support analytics and business intelligence.

Data Engineering

The Data & Machine Learning team at Hydrosat analyzes satellite imagery to develop advanced algorithms and machine learning models that generate actionable insights into plant health. This team leverages data science and machine learning techniques to transform raw data into valuable information for the company's commercial, financial, and government partners.

Data & Machine Learning

This department focuses on the design, development, and management of software and engineering solutions in imaging and space systems.

Hydrosat

Org chart

Board & advisors

Teams

Software Engineering

Board Members

Machine Learning

Data Engineering

Data & Machine Learning

Engineering Department

Offices

Hydrosat

Org chart

Board & advisors

Teams

Software Engineering

Board Members

Machine Learning

Data Engineering

Data & Machine Learning

Engineering Department

Offices

Related companies