Structured Remote Viewing sessions are used to generate perception-driven investigative hypotheses. RV helps identify unknown locations, landmarks, terrain, directional cues, and social clusters.
Multiple independent viewers are used for cross-validation.
OSINT Echo is the process of verifying Remote Viewing impressions using public data.
We examine Google Maps, reviews, terrain images, social platforms, datasets, and open-source material for confirmation patterns.
Remote Viewing identifies potential social touchpoints.
We then gather clarification through ethical, voluntary, and non-deceptive conversations.
No impersonation, no manipulation, no hacking.
FTP matches Remote Viewing cues—roads, landmarks, terrain, directions—with geospatial OSINT and AI terrain models to triangulate a region or pinpoint a structure.
Our AI models are trained on DTK INTEL case data to support anomaly detection, behavioral correlation, location matching, and multi-source validation.
All verified data is documented through Hunchly captures, structured intelligence summaries, and mindmap visualizations for clarity and traceability.