From pixels to situational awareness.
Atlas connects satellite imagery, maps and sensor streams into a traceable spatial situation picture. What used to exist as isolated pixel layers becomes a harmonized view of space — with source, confidence and audit trail on every statement.
The sketch illustrates the principle: Atlas overlays hypotheses, confidences and sources onto space. What it looks like in your application depends on the use case.
Where Atlas creates impact today.
Four concrete fields where Atlas produces the spatial situation picture — illustrative, not exhaustive. Every pilot is tailored to your data sources, workflows and sovereignty requirements.
Automatically detect changes along routes, pipelines or substations — before the damage, not after. Multispectral diffs instead of manual visual checks.
Build a live situation picture from floating-car data, sensors and map baselines, marking bottlenecks as hypotheses with source and confidence — even when sensors fail.
After storm, flood or fire: affected areas, accessible access routes and prioritized response points from heterogeneous sources — in hours instead of days.
Combine inventory data, satellite and municipal vector maps into a harmonized planning view — sealing, vegetation and development in one situation picture.
Movement and surface patterns along defined corridors from sensor and imagery sources — on sovereign infrastructure, with a traceable audit trail per finding.
Vegetation index, water level, air quality as spatial trends — with anomaly detection that reconciles individual stations with the overall picture.
Space is only one dimension.
Atlas becomes more powerful as soon as relationships and time are added. All modules share the same Aether — without duplicating data.
Pilot in 6 weeks — on your data, in your environment.
We start with a clearly defined use case. You keep data, models and audit logs. Atlas runs on-premise, in your private cloud or on European PaaS.