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European technologies in security and space
Commissioner Andrius Kubilius' visit to CloudFerro highlights the importance of European technologies for Europe's security and operational readiness
EO Data Platform
Satellite data, processing tools and compute in one cloud environment for accelerated development of data-driven solutions. Build and run EO services next to the archive.

Solution Overview
Downloading satellite data to process locally is slow, costly and hard to scale. The EO Data Platform removes the transfer step: you work where the data already sits.
Your benefits
Delivery speed and cost cuts in transfers, idle hardware, and the team that need to manage both.
Use Cases
The same environment serves agencies monitoring land and climate, companies selling EO analytics, and institutions that need answers under time pressure.
Architecture
Four layers cover the full path from raw data to delivered service, with identity, governance and billing built into the platform itself.
Identity and access management, project administration, usage monitoring, quotas and billing. One place to control who can reach what, and what it costs.
Data Explorer for browsing and visualising the catalogue, plus web interfaces and APIs for everything users do on the platform.
Unified access to EO datasets over HTTP and S3-compatible interfaces, with catalogue APIs for search and filtering.
Virtual machines, Jupyter Notebooks and high-performance environments next to the data. Built-in EO processors run on demand; OGC services deliver the results.
Building blocks for the infrastructure
EO Products & Services
Access and manage large-scale EO datasets from multiple satellite missions through a unified, scalable repository built for analytics, AI, and operational workflows.
EO Products & Services
Manage metadata and share EO data via catalogues, APIs, S3, HTTP and OGC services without unnecessary data downloads.
EO Products & Services
Unify access to distributed EO data across multiple storage sites with scalable, resilient S3-compatible infrastructure built for large repositories.
EO Products & Services
Access and process extensive EO datasets directly in the cloud, with fast discovery, flexible interfaces and no need to download.
Customer stories
The platform model is production-tested: the same infrastructure serves Copernicus users worldwide and national programmes across Europe.

One of the biggest repositories of open and free Earth observation data immediately available for downloading, streamlining and on-demand processing.

A cloud based massive repository of data that provides the foundation for Destination Earth – a European Union’s flagship initiative to develop a highly accurate digital model of Earth, contributing to the European digital and green transformation.

A cloud computing environment with an integrated multi-petabyte repository of Earth observation satellite data. It is the first commercial element of Copernicus Data Space Ecosystem.

The German platform providing Earth observation data, enabling the processing of data obtained under the European Copernicus program, developed and operated by CloudFerro.

The DIAS hybrid cloud computing, built and operated by CloudFerro on behalf of the consortium, led by EUMETSAT, providing access to satellite data, in particular for monitoring the marine, terrestrial, atmosphere and climate environment.
Compliance
Standards for security, privacy and data protection in cloud environments.
Independently audited cloud security aligned with BSI requirements.
Information security based on the established German BSI IT-Grundschutz standard.
Authorisation to protect EU classified information up to EU SECRET level.
Frequently Asked Questions
The questions platform and programme managers ask before moving their EO work here.
CloudFerro PDGS as a Service enables the full lifecycle of satellite payload data, from ingestion and processing to archiving and user delivery.
A next step after the Sen4CAP solution and the product features were developed based on it.
Build and deploy AI models on satellite data at scale with embeddings, training datasets, and anomaly alerts processed on CREODIAS. No data transfer, faster time-to-model, and lower expertise barrier.