VEYRA
A watch floor does not have an information problem. It has a correlation problem. VEYRA takes open-source, sensor, and partner feeds and resolves them into a single situational picture, then tells you what changed since you last looked.
Visual Event Yield & Reconnaissance Architecture
What it does
Correlation, not aggregation
Feeds arrive in different schemas, timeframes, and confidence levels. VEYRA resolves them into clusters with a single confidence score rather than stacking another queue on the watch officer.
What changed since you looked
Every cluster carries a delta: new corroborating sources, confidence movement, geographic spread. A returning officer reads the change, not the whole board again.
Confidence is explicit
Nothing presents as fact because it was ingested. Source count and corroboration drive a visible score, and low-confidence clusters are labelled unverified rather than hidden.
Attribution on every disposition
Acknowledge, escalate, and dismiss are all attributed and written to an append-only log, so an after-action review can reconstruct exactly who knew what and when.
Specification
| Area | Detail |
|---|---|
| Ingest | Open-source, sensor, partner liaison, and agency reporting feeds. Schema mapping per source. |
| Correlation | Clustering across time, geography, and entity, producing a single confidence score per cluster. |
| Geospatial | Event markers, cluster linkage, and radius tracking over a configurable basemap. |
| Alerting | Watchlist matching with configurable thresholds and routing. |
| Audit | Append-only log of ingest, correlation, and analyst disposition events. |
| Deployment | Built for FedRAMP-authorized cloud, FISMA Moderate baseline. |
Tell us what's stuck.
A 30-minute briefing with the engineers who would do the work — not a sales team.