Actionable Device Location Intelligence

Fog Data Science delivers advanced device location intelligence to public sector agencies through its cloud-hosted Reveal Portal—providing investigators with timely, lawful, and operationally relevant insights from advertising-derived intelligence (ADINT) data.

In today’s investigative environment, traditional data sources alone—records, interviews, surveillance, and databases—often leave critical gaps. Devices move. People change behavior. Criminal activity adapts. ADINT fills that gap by revealing how mobile devices interact with the physical world, helping agencies understand movement patterns, contextual behavior, and proximity-based associations that would otherwise remain hidden.

The Reveal Portal transforms billions of commercial location signals into investigative intelligence through powerful analytics, visualization tools, and filtering engines designed specifically for law enforcement and government users. Analysts can rapidly identify devices of interest, validate leads, establish timelines, uncover links between seemingly unrelated locations, and prioritize high-probability investigative targets—without relying on personally identifiable information.

Fog Data Science’s platform is built for real-world workflows. Geospatial querying, forensic signal classification, and temporal analysis allow teams to move from raw movement data to actionable insight in minutes—not days. With intuitive mapping technology and analytics layers, users can visualize travel patterns, identify point-of-interest convergence, eliminate noise, and focus on what matters most.

What makes Reveal different is not just scale—it’s precision. Proprietary enrichment and quality indicators highlight signals with investigative value, while forensic flags allow analysts to rapidly filter out unreliable or irrelevant data. This reduces cognitive overload, accelerates decision-making, and improves operational outcomes across criminal investigations, organized retail theft, human trafficking, narcotics interdiction, and missing person cases.

Fog Data Science’s approach respects privacy by design. Data is linked to devices—not people—and originates from lawful commercial sources. Analysts are given intelligence context, not identity—ensuring investigative value without compromising civil liberties.

ADINT is not a replacement for traditional methods—it is the missing layer that connects everything together. It bridges what is known with what is happening and enables agencies to operate with clarity in an increasingly mobile world.