NetCentric Intelligence provides the most powerful model for large-scale sense-making and analysis available. NetCentric Intelligence has three main components:
Entity-based Computing treats all People, Places, Things, Events and Ideas as individual entities, even though the same entity may be described differently in many different data sources. By focusing on the unique entity, it is possible to see a holistic view of each entity and everything known about them, regardless of source.
Every domain has a language that defines it. Every entity has a “Type”, and has a set of relationships that bind it to every other entity in the ontology. A flexible ontology allows subject matter experts to easily extend the ontology, on the fly, as new information is uncovered. Templates that define the relationships required to accurately and consistently describe the entity type can be easily created and shared.
Relationship Analytics values the relationship between entities as highly as, or higher than, the entity itself. By analyzing the nature and type of the relationship connecting entities, it is possible to quickly understand the fundamental nature of the network and uncover hidden relationships.
Semantica treats all entities as unique, and can build up layers of information about them from virtually unlimited databases or document sources. Bringing together all data about an individual entity, from all known sources, into a single common interface, makes it possible to see at a glance all that is known about the entity.
The ontology that defines the way all the entities in a network are connected is essentially the language for the network. Semantica features a unique, flexible ontology management system that makes it possible for subject matter experts to change and update the ontology, and create new templates, on the fly, without requiring days, weeks, or months of effort by database managers or knowledge engineers to change the underlying database schema.




NetCentric Intelligence provides analysts with the ability to quickly see how all the pieces fit together, to truly understand the nature and composition of the networks of threats they are dealing with.
The Department of Defense Counternarcotics & Global Threats Strategy explicitly states that:
“Propelled by the forces of globalization, technology, and connectivity, the contemporary security environment is distinct from any time in the past. The chief characteristic of this environment is complexity: a growing density of linkages among people, organizations, and challenges… The emergence of amorphous, adaptable, and networked threats has far-reaching implications for the U.S. national security community.”
By tying all facts, or data points, about an entity together with unambiguous, named relationships, it becomes possible to see how all the entities in your network are connected to each other. Unlike typical “link analysis” tools, where anonymous lines connect the dots, Semantica’s explicitly named, bi-directional relationships transmit real knowledge at a glance: It’s not enough to know that two entities are connected; it is knowing how those entities are connected that is the source of real power.