It isolates the failure and hands you the evidence.
A real incident end to end: deterministic checks drop the noise, the agent reasons only on a genuine anomaly, traces the root cause across scene → collection → service, and proposes a fix. Nothing runs until a human approves.
The moat is the domain, not the model.
Anyone can wrap a model around a stack trace. The hard part is teaching an agent to understand geospatial data like an EO engineer, and to act on it safely inside your perimeter.
Reads the payload, not the log
Opens rasters, cubes and vector tables and reasons over SRID, NoData, band and variable integrity, geometry and AOI. The evidence is the data, not a proxy.
A library of EO failure patterns
Recognises domain-specific failures: a wrong reprojection, a missing tile posing as cloud, an empty tile behind a 200, each with the tools and lineage that resolve it.
Read-only, never acts alone
Deterministic checks gate expensive reasoning; every tool is read-only and a human approves every action. Bounded, audited, and hardened against prompt injection.
See GeoTrace debug your own pipeline.
We'll run it read-only against a representative incident from your stack and walk through the evidence with you.
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