01
Make the requirement testable.
Turn source text, technical standards, and deadlines into explicit product decisions.
Satellite Data software.
Focused integrations, operational tools, and compliance systems for the standards shaping satellite data.
Research-grade data, product-grade requirements.
Copernicus's Sentinel satellites produce free, open Earth-observation data at a volume most application teams aren't equipped to consume directly — multi-gigabyte scenes, inconsistent revisit times, and cloud cover that silently degrades usefulness for a given date and location if it isn't filtered before it reaches a customer-facing feature.
A usable integration layer sits between that raw archive and an application: discovering the right scenes for a given area and time window, running quality checks like cloud-cover thresholds before ingestion, and serving processed, versioned outputs through an API — turning a research-grade open dataset into something a compliance, agriculture or insurance product can depend on without re-solving satellite-data plumbing from scratch.
How Satellite Data becomes working software.
Three decisions keep the project grounded in operations from the first workshop onward.
02
Fit the systems already in place.
Map owners, data sources, approvals, and failure paths before choosing the software shape.
03
Ship evidence with the feature.
Include the operational trail, documentation, and maintainable architecture the requirement demands.
Show us where the workflow breaks.
If satellite data software is on your roadmap, describe what you run today and where the requirement gets stuck. We will map the shortest credible route forward.