This company provides satellite data processing and analysis services, offering insights for urban monitoring, agriculture, and other applications. Their software solutions and consulting support engineering, research, and development for clients in aerospace, defense, and other industries.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations across industries struggle to efficiently process and analyze the increasing volume of Earth observation data from satellites and other sources. Transforming raw satellite data into actionable insights requires specialized expertise in mathematics, computing, and science, creating a barrier to entry for many potential users.
Solution
Geokapti B.V. provides specialized software and consulting services that automate the processing and analysis of Earth observation data, enabling organizations to derive valuable insights for various applications. Their solutions combine space-based data (radar, spectroscopy, gravity) with ground-based data (demography, industry, weather, asset location) to generate industry-specific intelligence. Geokapti's offerings include a ready-to-use toolbox (GeoBox) for Earth observation data analysis and an automated platform (GeoFarms) for agricultural monitoring. They also develop custom software components for high-tech systems in aerospace, defense, and other demanding industries, adhering to rigorous software engineering practices and CI/CD procedures.
Target Audience
Geokapti's primary customers include governments, businesses, and research institutions in industries such as agriculture, finance, logistics, security, aerospace, and defense, as well as organizations requiring specialized software for high-tech systems.
Features
- **GeoBox:** A ready-to-use toolbox for Earth Observation data analysis, featuring a full suite of standard Python libraries, a data cube-based processing chain, and data cube utilities.
- **GeoFarms:** An automated platform for agricultural applications that uses satellite data and field sensors to produce useful metrics, including regional maps, time series of vegetation indexes, and farmland databases.
- **Custom Software Development:** Design and development of software components for aerospace, defense, and other high-tech industries, with expertise in embedded systems, instrument simulations, and scientific data processors.
- **Data Integration:** Combining space-based data (radar, spectroscopy, gravity) with ground-based data (demography, industry, weather, asset location) to generate industry-specific insights.
- **Cloud Infrastructure:** Building and managing cloud-based infrastructure for handling and processing large volumes of satellite data.
- **Machine Learning & AI:** Development of AI-powered solutions for various applications, such as optimizing customer service queues and detecting patterns in socioeconomic datasets.