THE ASSURANCE LAYER
An alert is not evidence.
A reconstructable chain is.
IGNIS sits above existing RGB, thermal, IoT, UAV, meteorological and decision systems. It does not replace detection or command systems; it preserves the evidence required to understand what happened, when, and why.
01
Observation
Sensor-native event evidence.
02
Provenance
Payload identity and source trace.
03
Temporal Integrity
Latency, stale data and clock anomalies.
04
Correlation
Known, negative and unknown states preserved.
05
Reconstruction
First divergence and decision evidence.
06
Wildfire Evidence Object
Canonical, deterministic replay artifact.
VALIDATION / IGN-FV01
Claims backed by artifacts.
The pinned public IGNITE sample is byte-level dataset validated. Thermal evidence remains positive while RGB is explicitly preserved as unknown/unlabelled — preventing a false sensor-disagreement claim.
{
"event": { "thermal": true, "rgb": null },
"sensor_disagreement": false,
"evidence_sufficiency": "partial",
"decision": "hold",
"replay": { "deterministic": true }
}DETERMINISTIC RECONSTRUCTION
Same evidence.
Same reconstruction.
Canonical evidence objects make incident review reproducible across engineering, independent evaluation and future authority-pilot workflows.
INTEGRATION
Designed to sit above the systems you already operate.
RGB / EOTHERMALIoTUAVMETEODECISION SYSTEMS
IGNIS is not a wildfire detector, suppression system, navigation system or command authority. v0.1 is an engineering release candidate. Independent external reproduction and authority operational validation remain separate gates.
PILOT / INDEPENDENT EVALUATION
Bring your sensor evidence.
We make the decision chain reconstructable.
Technical collaboration, independent evaluation and controlled pilot enquiries.
ignis@pamilanga.com