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OSINT investigations

Geospatial Intelligence and Security

Use this showcase if you’re building an application where investigators need to understand how sanctioned individuals are connected to companies, assets and locations. It shows how geospatial link analysis can turn open source intelligence into a map-based investigation, helping users follow associations that would be harder to interpret in separate records.

What the showcase demonstrates

The showcase presents a fictional network involving individuals, companies and high-value assets. The relationship data is layered over a map, so users can see both the structure of the network and the places where those associations appear.

Different node types can be switched on or off through the legend. Selecting a sanctioned individual highlights their surrounding network in red, making ownership and association easier to follow. From there, users can move from the wider sanctions picture into local detail. Zooming into locations such as London reveals more information and adapts the map presentation to the level of detail needed.

This is useful when an investigation depends on both relationships and geography. A company may be linked to an individual. An asset may sit in a specific jurisdiction. A cluster of locations may change how the wider picture is understood.

What you can evaluate

For product and engineering teams, this showcase demonstrates how the SDKs can support geospatial investigation workflows built around connected data. It highlights adaptive map behavior, category filtering, and layouts that combine geolocated and non-geolocated nodes.

The workflow supports a core OSINT task: follow a person of interest and understand the full network of their associated companies and assets by viewing them on a map.

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Use this showcase if you’re building a law enforcement application where investigators need to reconstruct a case across locations and time. It shows how a map can capture the geography of an incident, while a timeline brings the sequence of events into focus - including data that do not belong naturally on the map.

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