🛸
Voyager 1 — Still transmitting since 1977 If Voyager can send data from 24 billion km away, we can handle your Sentinel-2 backlog.
🔭
Hubble — 1.5 million observations and counting Our pipelines catalog and process Earth observation data with the same precision Hubble brings to the cosmos.
🤖
Mars Pathfinder — 100 meters in 83 days Sojourner explored Mars one pixel at a time. Our data travels from ingestion to insight in under 4 hours.
🛰️
ISS — Every 90 minutes at 28,000 km/h Our auto-scaling infrastructure matches the pace. Because satellite data never sleeps.
Mission-Ready Earth Observation Partner

Every Sentinel pixel holds a discovery. We make sure none gets lost.

From raw Copernicus data to decision-ready intelligence — we build the processing chains that turn Europe's most ambitious Earth observation missions into measurable impact.

PB+
Processing / day
L0→L3
Full Chain
<4h
Data to Intelligence
Aligned with European Space Programme Standards
COPERNICUS
SENTINEL
EUMETSAT
OGC
STAC
openEO
ISO 27001
Engineered for Discovery

Six capability domains. One mission: turn every byte into knowledge that matters.

Covering the full lifecycle of satellite data — from ingestion to actionable intelligence.

Every Pixel, Accounted For

We ingest terabytes daily across Sentinel-1/2/3/5P and harmonize them into analysis-ready formats. Your science starts faster — not with data wrangling.

ZarrCOG NetCDF4STAC DaskSpark

Scale That Matches the Mission

Whether it's a regional study or a pan-European reprocessing campaign, our Kubernetes-orchestrated cloud infrastructure scales up in minutes and down to zero.

KubernetesTerraform HelmArgoCD Multi-Cloud

Intelligence, Not Just Data

Our ML pipelines detect change, classify land cover, and predict trends — trained on Copernicus data, validated against ESA benchmarks.

PyTorchTensorFlow MLflowKubeflow ONNX

Seeing Through Clouds. Literally.

InSAR, PolSAR, coherence analysis — we extract signal from SAR data that others leave as noise. All-weather, day-and-night monitoring at scale.

SNAPISCE MintPyS1-Toolbox

From Time Series to Foresight

Multi-temporal analysis, anomaly detection, and trend forecasting. We don't just show what happened — we reveal what's coming.

xarrayPostGIS GeoServerJupyter

Pipelines That Never Sleep

GitOps, CI/CD, automated testing, zero-downtime deployments. Your processing chain runs 24/7 — because satellites don't take weekends.

GitOpsCI/CD PrometheusGrafana
Our Approach

From Raw Signal to Real Impact

A proven four-phase approach that transforms satellite data into decision-ready intelligence.

1

Discover & Ingest

Automated harvesting from CDSE, SciHub, and partner archives. Every orbit captured.

2

Process & Harmonize

L0→L1→L2 with atmospheric correction, geometric alignment, and quality flagging.

3

Analyze & Learn

ML-driven feature extraction, time-series analytics, and change detection at continental scale.

4

Deliver & Enable

Decision-ready products via STAC APIs, dashboards, and seamless workflow integration.

Service Portfolio

Three core services. Designed for the scale and precision ESA missions demand.

Service 01

Satellite Data Processing & Engineering

End-to-end processing chains for Sentinel, Landsat, and commercial constellations. We handle the complexity of multi-sensor harmonization so your analysts focus on discovery.

  • L0→L1→L2→L3 full processing chain operations
  • Multi-sensor data fusion and cross-calibration
  • Cloud-optimized storage (Zarr, COG, STAC catalogs)
  • Automated quality assurance with ESA-standard flagging
50 TB
Daily Processing Throughput
99.7%
Quality Assurance Rate
Service 02

Cloud-Native Platform & Infrastructure

Purpose-built for geospatial workloads. Our platform engineering team designs, builds, and operates the infrastructure that keeps your processing chains running — on any cloud, at any scale.

  • Multi-cloud architecture (AWS, Azure, GCP, CDSE)
  • Kubernetes orchestration with auto-scaling
  • Infrastructure as Code (Terraform, Helm, ArgoCD)
  • European data sovereignty and GDPR compliance
99.9%
Platform Uptime SLA
<3 min
Scale-Up Time
Service 03

Geospatial AI & Analytics

From land-cover classification to urban growth prediction — our ML models are trained on Copernicus data and validated against ESA benchmarks. Turning observation into foresight.

  • Custom ML model development and validation
  • Change detection and anomaly monitoring
  • Time-series analysis and trend forecasting
  • MLOps pipeline management (MLflow, Kubeflow)
94%
Model Accuracy (Land Cover)
15+
Production ML Models
Why Mission Leads Choose Us

Purpose-built for ESA. Not retrofitted from generic cloud consulting.

ESA-Native Architecture

Our systems were built for CDSE and openEO from the ground up — not adapted from generic cloud patterns. We speak your data model natively.

European Data Sovereignty

Your data stays in Europe. Full GDPR compliance, European cloud providers, no transatlantic data flows. Security by architecture, not by policy.

Proven at Petabyte Scale

We don't demo with toy datasets. Our pipelines process real Sentinel archives — measured in petabytes, not gigabytes.

Full-Chain Expertise

From L0 raw telemetry to L3 analysis-ready products. One team, no handoffs, no gaps in the processing chain.

Operational Excellence

99.9% uptime SLA. Automated monitoring and alerting. You focus on science — we keep the infrastructure running.

Built to Scale Your Team

Start with 5 specialists. Scale to 30. Our distributed team model grows with your mission — no procurement bottleneck.

Technology Stack

Built on open standards. Deployed at production scale.

Every component chosen for its role in the European Earth observation ecosystem.

Python
Core Language
Dask
Parallel Compute
xarray
N-D Arrays
Kubernetes
Orchestration
Terraform
Infrastructure
PyTorch
Deep Learning
MLflow
ML Lifecycle
PostGIS
Spatial DB
STAC
Cataloging
openEO
EO Processing
Zarr
Cloud Storage
COG
Optimized Raster
Prometheus
Monitoring
Grafana
Observability
ArgoCD
GitOps
SNAP
SAR Processing
The Team Behind the Mission

Distributed by design. United by precision.

Specialists in geospatial data engineering, cloud infrastructure, and Earth observation analytics — ready to scale with your mission requirements.

10–30
Scalable Team Size
10
Specialist Profiles
5+
Years Avg. EO Experience
24/7
Operational Coverage
Programme Alignment

Engineered for the missions that define European Earth observation.

Copernicus Data Space Ecosystem (CDSE)
Native integration with the CDSE API ecosystem. Our processing chains plug directly into the Data Space — no middleware, no translation layers.
Sentinel Missions (1 / 2 / 3 / 5P)
Optimized processors for each Sentinel instrument. From SAR backscatter (S1) to ocean color (S3) to atmospheric chemistry (S5P) — mission-specific, not generic.
Copernicus Services (C3S / CAMS / CLMS)
Climate, atmosphere, and land monitoring data pipelines designed for the operational cadence and quality requirements of Copernicus downstream services.
FutureEO & Expansion Missions
Architecture-ready for next-generation instruments: CHIME, LSTM, CO2M, ROSE-L. Our modular platform adapts to new data types without rebuilds.

Ready to discuss your next Earth observation mission?

From technical scoping to full operational deployment — let's explore how GeoNexus.space can accelerate your programme.