Geodata and AI reinforce each other: with a crisp question set and solid pipeline, remote sensing, classical metrics and machine learning on raster and vector data become dependable maps, alerts and KPIs — fewer blind spots, earlier change signals, fewer unnecessary trips. Web-GIS and APIs put outputs in everyday workflows. We ship working systems, not slideware.
Reports and rasters in your documents?
We treat location and parcel data carefully: EU hosting, clear roles, no onward transfer without mandate.
Satellite data does not replace a formal survey or legal certification — but it provides traceable decision support across large footprints and long runs: structured indices — and ML where warranted — help prioritise patterns without visiting every hectare anew.
Programmes such as Copernicus provide openly described satellite data for many users — useful to avoid exotic licence lock-in and to design architectures close to EU practice. cyberEiche is not a partner of ESA or the European Commission; we use publicly documented sources and build your application on top.
The Copernicus Data Space Ecosystem publishes use cases where Earth observation and AI together reveal spatial impacts — for example pollution spread after major wildfires. That is contextual reading, not a product endorsement; cyberEiche is not a Copernicus Data Space partner.
Alongside Earth observation, the EU is building IRIS² for encrypted, resilient satellite connectivity — not a substitute for Copernicus imagery. Useful as architecture context when telemetry, field sync or backups must work in dead zones or when terrestrial links fail: government and critical-infrastructure workflows, secure governmental and crisis communications, healthcare or finance handling personal or sensitive data — built for resilience on EU infrastructure. cyberEiche does not operate IRIS² and is not a European Commission partner.
We do not dump endless raw pixels without purpose. Instead: crisp questions, a pipeline with classical and optional ML processing, QA with you, then dashboard or API — plus optional operations and training.
Operations with a light environmental angle — no yield or permitting guarantees.
Land & infrastructure
Utilities or municipal operators compare surroundings and change over years — fewer random drives, clearer priorities for field teams.
Focus: Monitoring · layers for dispatch planning
Agriculture & forestry (SME scale)
Farms combine satellite indices with their parcels to narrow seasonal stress hotspots — not to promise absolute yield forecasts.
Focus: Time series · regional comparability
Environment & project owners
Projects need traceable maps for funders or internal steering — reproducible refreshes from the same pipeline.
Focus: Transparency · reporting packs
Illustrative examples; final scope is agreed on the intro call.
Which problem, which footprint, what accuracy, what obligations (GDPR, regulators)?
Pick EO and vector sources, EU hosting, interfaces to your systems.
First credible maps and metrics — validated with you against spot checks.
Refine legends, alerts, roles and exports.
Scheduled updates, monitoring, backlog for the next milestone.
After the intro call you receive a fixed-price proposal with explicit scope — no open-ended hourly trap.