Kibi comes with a set of components well-suited for law enforcement and intelligence data visualization.
Siren is based on a unified relational model to provide never available before capabilities for the intelligence and law enforcement community.
Narrowing on a set of suspects, transactions, events or locations is a core activity in intelligence and law enforcement. While most analytics tools allow you to restrict using metadata features, Kibi is the only one that uses a unified data model to see how any “set” is interconnected to another “set”. See our video.
Siren operates at big data scale either based on Elasticsearch or other stores where the data natively resides. No need for a separate graph database to provide link analysis: the Siren Platform provides a virtual graph API interface which leaves the data where it naturally resides.
Processing textual data (from open source to internal memos) via an NLP platform extracts entities, metadata and relations which are often just used only in a superficial way due to lack of connections with other records in the organization. Built with a relational datamodel at heart, Siren is the perfect companion for your existing NLP/textual analysis platform. Don’t have one? Work with our partners.