Top 50 Satellite Data Analytics

Sidus Space provides tailored Data-as-a-Service solutions for the space sector, utilizing satellite data analytics and remote sensing technologies. The company enables organizations to access and interpret critical space-derived data, enhancing decision-making and operational efficiency in various applications.

SpaceSense is an AI platform that simplifies the integration and analysis of satellite data, enabling data scientists and developers to create geospatial solutions rapidly and at scale. By automating data preparation and processing, it allows organizations to derive actionable insights from complex geospatial datasets without requiring specialized expertise.

Develops a hyperspectral satellite constellation combined with AI-driven analytics to provide near-real-time global data on crop health, carbon sequestration, and environmental changes. This enables businesses, governments, and insurers to make informed decisions, optimize resource management, and improve risk assessment with sub-daily insights from 100 microsatellites by 2030.

The startup develops satellite data analysis technologies that utilize machine learning and artificial intelligence to generate precise maps of land cover, land cover change, and ecosystem carbon storage. This enables clients in both public and private sectors to monitor deforestation and support compliance with environmental regulations, facilitating informed decision-making for nature-based investments and forest restoration initiatives.

Space DOTS provides a cloud-based platform for automated satellite imagery processing, transforming raw geospatial data into actionable intelligence. Its advanced algorithms enable efficient feature extraction and change detection for environmental monitoring and resource management.

Planet is an aerospace and data analytics company that designs and operates small satellites to monitor environmental changes on Earth. By providing high-resolution satellite imagery and data analytics, Planet enables organizations to track deforestation, urban development, and agricultural trends effectively.

Provides satellite-based remote sensing and machine learning solutions to deliver location-specific insights for agriculture, finance, infrastructure, and climate sectors. Enables precise crop monitoring, risk assessment, and resource management by integrating high-resolution satellite imagery with AI-driven analytics, supporting over 2 million farm loans and 500,000 insurance claims annually.

Orbital Insight provides a geospatial analytics platform, TerraScope, that utilizes AI to process diverse data sources, including satellite imagery and IoT data, for real-time insights into supply chains, demographics, and geopolitical events. This technology enables organizations to anticipate changes and mitigate risks, enhancing decision-making across various sectors such as national security and real estate.

Slingshot Aerospace offers an AI-powered platform that integrates multiple space data sources into a unified operating picture for satellite operators. The solution provides space domain awareness, traffic coordination, and defense analytics through advanced object tracking and astrodynamics services, delivering actionable insights to improve operational efficiency and reduce risk.

Synspective provides synthetic aperture radar (SAR) data and remote monitoring services to government agencies and companies, enabling precise environmental observation regardless of weather conditions or time of day. Their satellite constellation aims to enhance decision-making by delivering critical insights into natural resource management and risk exposure through advanced data analytics.

This startup develops Earth Observation satellite technology to provide high-resolution imaging and data analytics for agriculture and climate monitoring. By delivering precise insights on methane and carbon dioxide emissions, the company enables clients to lower data acquisition costs and meet NetZero targets effectively.

The startup develops small satellites equipped with high-resolution optical sensors to capture frequent satellite imagery. Its platform automates data analysis for applications such as land surveying and environmental monitoring, enabling clients to efficiently process and utilize large datasets.

Ox-agro utilizes satellite imagery and AI-driven analytics to transform complex agricultural data into clear, actionable reports for farmers. This approach addresses the challenge of interpreting technical data, enabling farmers to make informed decisions about crop health and management without needing to navigate complicated software.

Eartheye provides a cloud‑based Tasking‑as‑a‑Service platform that lets users schedule on‑demand acquisitions from a catalog of satellite sensors—including SAR, hyperspectral, multispectral, and AIS—through a single web interface. The system automatically retrieves raw imagery, runs AI‑driven processing pipelines to extract and classify features, and delivers decision‑ready feeds via customizable dashboards or REST APIs. Pricing is consumption‑based with per‑square‑kilometer tasking fees and subscription options for analytical feeds.

The startup develops a data analytics platform that utilizes cloud computing to integrate multiple predictive models, processing data from ground-based and satellite sensors. This technology enables businesses to anticipate and prepare for the impacts of climate change and weather-related disasters on their global assets.

HEO provides on‑demand non‑Earth imaging (NEI) services that capture high‑resolution, low‑light imagery of satellites, debris and other orbital objects from orbit. Its autonomous HEO Inspect platform processes the raw data with AI/ML to deliver object detection, tracking, classification and anomaly insights through secure APIs and web dashboards, enabling defence agencies and satellite operators to integrate visual intelligence into their command‑and‑control workflows.

SkyServe provides an edge computing platform for satellites, enabling analytics companies to deploy applications for earth observation and other space-based solutions. Their technology allows for generating insights directly from satellite data, reducing latency and bandwidth costs.

Spottitt provides satellite-derived risk analytics specifically for the energy, environment, and infrastructure sectors. The company delivers precise insights into environmental hazards and operational risks, enabling organizations to make informed decisions and enhance resilience.

EOS Data Analytics (EOSDA) utilizes AI-powered satellite imagery and geospatial analytics to monitor crop health and soil moisture, providing farmers with actionable insights for improved yield and resource management. By delivering precise data on agricultural conditions, EOSDA addresses inefficiencies in farming practices and promotes sustainable land use.

Galeio offers foundation models for processing complex visual data like satellite imagery and radar, enabling faster AI development with reduced manual labeling. Their locally deployable solutions integrate with existing infrastructure, providing secure and adaptable analytics for sectors such as energy and environmental monitoring.

Satelligence utilizes satellite data analytics to monitor deforestation and track supply chain assets, enabling businesses to ensure compliance with deforestation-free commitments and reduce scope 3 emissions. Their platform provides real-time insights and traceability, helping companies measure sustainability progress and mitigate risks throughout their value chains.

The startup develops semi-autonomous satellite systems that utilize computer vision and machine learning to provide real-time insights from space. By enhancing data extraction and analysis capabilities, the company enables clients across various sectors, including IoT and biomedical, to maximize the utility of satellite information.

BlackSky operates a Gen‑3 low‑Earth‑orbit satellite constellation that delivers 35 cm resolution imagery with multiple daily revisits for defense, intelligence, and security customers. Its Spectra® platform provides on‑demand tasking and a subscription tier that returns processed imagery and AI‑driven analytics—object detection, change detection, and comparative reports—within 60–90 minutes via a web dashboard and secure APIs.

Lyrasense provides a platform that enables data scientists to integrate and analyze earth observation satellite data for informed decision-making. By simplifying the application development process, the company allows users to unlock actionable insights in minutes, enhancing strategic business operations.

AgriFi.AI provides an AI-powered spacetech analytics platform that delivers impact-driven insights to businesses. It leverages satellite imagery and AI to offer data-driven solutions for various industries.

The startup operates a space data center that collects and analyzes satellite data to enhance space situational awareness for various stakeholders, including satellite operators and government agencies. By providing precise space traffic management insights, the company enables efficient research and operational decision-making in an increasingly crowded orbital environment.

Ursa Space provides a cloud‑native platform that aggregates raw synthetic aperture radar (SAR) imagery from a global satellite constellation and delivers it via RESTful and GraphQL APIs. The service normalizes, calibrates and automatically processes the data into ready‑to‑use products such as change‑detection maps, interferometric measurements and vessel‑track overlays, enabling defense, maritime and infrastructure users to integrate near‑real‑time SAR insights into GIS and analytics workflows.

Fregata Space provides an earth observation platform that utilizes satellite imagery and advanced data analytics to detect pollutants in air and water in real time. This technology enables governments and organizations to monitor environmental quality and respond promptly to pollution events globally.

CI Metrics provides image processing and machine learning analytics for satellite and drone data, enabling precise measurement and monitoring of climate risks. The company develops customized risk indices by fusing satellite imagery with terrestrial datasets, delivering actionable insights for sectors such as agriculture and defense.

This startup offers a cloud-free platform that uses satellite observation data, AI, and human analysis to provide insights for business decision-making. The platform delivers rapid access to previously unobtainable information, enabling clients to improve business performance and strategy.

Titan Space Technologies provides an orbital compute platform that utilizes real-time monitoring and neural engine capabilities to enhance data processing in space. This technology addresses the challenge of managing vast amounts of data generated by satellite operations, enabling efficient analysis and decision-making for various applications.

This startup offers a data analytics platform that processes satellite imagery to derive water quality insights. Their platform helps clients build and validate forecasting models, providing timely information on critical water parameters.

BeyondEX is a platform that utilizes generative AI to convert satellite and geospatial data into natural language insights, enabling users to interact with complex data without requiring expert knowledge. This technology provides real-time, tailored analysis for various industries, facilitating informed decision-making in areas such as agriculture, finance, and disaster management.

Arusha Space provides an end‑to‑end geospatial intelligence platform that ingests multispectral and SAR satellite data, applies AI‑driven preprocessing and feature extraction, and delivers sector‑specific analytics through secure APIs and interactive dashboards. The solution includes predictive maintenance and autonomous navigation tools for satellite operations, as well as consulting services to build space capabilities for governments, commercial enterprises, and emerging nations.

This startup provides high-resolution satellite imagery and analytics for Earth observation, focusing on climate change impact assessment and sustainable agriculture. Their platform helps businesses assess climate risks and optimize farming practices for profitability and sustainability.

Provides cloud-native geospatial tools that streamline data processing, analysis, and visualization for geospatial workflows. These tools reduce the complexity and time required to derive actionable insights from satellite imagery and spatial data, enabling organizations to make informed decisions faster and more efficiently.

Uses AI and machine learning to analyze satellite data and publicly available information, predicting and mitigating communication outages to ensure reliable downlinking of critical space-collected data. This reduces delays from hours to seconds, enabling faster decision-making for applications in Earth observation, resilient communications, and scientific research.

The startup offers a geospatial data analytics platform that utilizes predictive algorithms to integrate satellite imagery, drone surveillance, weather data, and IoT sensor inputs. This technology provides real-time geo-referenced insights for the insurance, logistics, and agriculture sectors, enabling businesses to make informed decisions based on accurate data analysis.

This startup provides AI-powered solutions for Earth Observation and remote sensing, offering 10x super-resolution for multispectral and hyperspectral satellite imagery. Their platform also performs cloud detection and removal, atmospheric correction, and land use/land cover classification to enhance satellite data analysis.

The startup develops an AI-powered agricultural analytics platform that utilizes satellite imagery and weather data to enhance crop yield prediction and risk assessment. By providing actionable insights, the platform enables farmers to make data-driven decisions that increase crop production and profitability.

OrbitsEdge provides datacenter-grade computing and analytics in low Earth orbit, enabling real-time data processing for satellite operations. This capability offers immediate computational resources, eliminating the latency and bandwidth limitations of terrestrial data centers, thereby enhancing decision-making and operational efficiency in space.

Klarety utilizes satellite imagery and machine learning algorithms to provide geospatial data organizations with real-time analysis and automated reporting for informed decision-making. By integrating diverse data sources, Klarety addresses the challenge of siloed information, enabling efficient resource allocation and mission planning.

Planetor offers an integrated Earth Observation platform that uses AI and high-resolution satellite data to deliver actionable geospatial intelligence. It simplifies complex data workflows, transforming satellite imagery into decision-ready insights for agriculture, forestry, finance, and energy sectors. This enables businesses to optimize operations, monitor environmental impact, and achieve sustainability goals with accessible, real-time dashboards and predictive analytics.

Geoalert provides an AI-powered geospatial analytics platform that utilizes satellite and aerial imagery to deliver instant location analysis and mapping solutions. The technology enables data analysts to efficiently extract insights and automate urban planning processes, enhancing decision-making capabilities across various industries.

Ali Analytics offers AgriVision AI, a computer vision and data science platform that analyzes satellite imagery, weather data, and IoT sensor data to provide farmers with real-time insights into crop health, yield estimation, and pest/disease control. This enables data-driven decisions for improved agricultural practices.

SI Analytics utilizes deep learning algorithms to analyze satellite imagery, enabling precise detection of changes in large areas that may be overlooked by human observers. Their solutions enhance decision-making in fields such as environmental monitoring, disaster response, and infrastructure management by providing high-resolution imagery and actionable insights.

StarSpec Technologies develops precision space-based imaging systems and data analytics to provide actionable insights for climate monitoring and critical infrastructure maintenance. Their solutions utilize satellite-based technologies to enhance decision-making in response to global challenges such as climate change and infrastructure resilience.

This company provides AI-powered analysis of satellite imagery, integrating it with ground-based data for environmental monitoring and resource management. Their services include coastline mapping, bathymetry, and precision agriculture, delivering actionable insights for industries needing real-time geospatial intelligence.

SPACELAB is a space technology company focused on developing satellite systems for Earth observation and data analytics. Their solutions provide accurate environmental monitoring and resource management, addressing the need for reliable data in climate change and urban planning initiatives.

Neptune New Space provides satellite data and AI analytics tailored for the blue economy, enabling precise asset tracking and monitoring to enhance operational efficiency. By delivering on-demand reports with targeted insights, the company helps businesses reduce costs and make informed decisions for sustainable growth.