Sicario
Sicario is a distributed sensing and inference platform that turns RF activity into confidence-weighted, location-based signals—so users see only high-confidence events instead of raw spectrum noise.
Detect • classify • infer location
Mobile SDR nodes capture RF activity, the backend correlates observations with context (location, time, history), and the system estimates probable source locations with confidence scoring.
Confidence-filtered map output
Only events above defined thresholds are surfaced—displayed as map pins/regions with time and confidence indicators.
Note: This page is a high-level overview intended for collaboration and investor discussion. Technical details may evolve as the system is engineered and tested.
System flow (high level)
- User connects the app to an SDR node.
- App shares device location/telemetry with the coordination server (as configured).
- Server selects relevant bands/protocols based on location and known frequency databases.
- Server issues a tasking instruction set (scan schedules, thresholds, protocol priorities).
- Node captures qualifying RF activity and sends metadata/samples upstream.
- Backend performs classification, correlation, and probabilistic fusion across observations.
- User receives confidence-weighted results (pins/regions) with timestamps and indicators.
Current stage
- Prototype and field-testing in progress
- UI demo and mapping overlays under iteration
- Hardware + software architecture documented
Near-term
- Subdomain demo page + video embeds
- Public-facing FAQ + responsible-use framing
- Investor deck + technical appendix
Reach out
Email: contact@aflabs.kiwi (or replace with a Proton custom-domain address)