How IMT Intel:ID Helps Investigators Cut Through the Noise

By Peter Huber – IMT Practice Lead – Justice, Threat and Fraud

Crime analysts can spend up to 80% of their time combing through disparate data repositories collecting and collating data to make it actionable, rather than performing the analysis that increases case closure rates and successful prosecutions.

That problem gets even worse as the sheer volume of data increases, especially with unstructured data from social media, video, or other external sources.

That’s why IMT is excited to announce our completely reimagined Intel:ID, designed to help get the right information in front of investigators across justice, law enforcement, and intelligence agencies of all size.

Until now, real-time entity resolution and relationship discovery software was complex and expensive, which kept it out of reach of smaller and mid-sized agencies. We applied our 20+ years as Identity Solutions Experts to deliver a sophisticated investigative analytics solution to agencies of all sizes. This is a game changer.

Resolve, relate, alert: helping departments of all sizes improve investigations

Traditional Records Management Systems often can’t resolve key data issues including the noise introduced by duplicate records or the ability to leverage non-obvious relationships. As a result, dossiers are incomplete and investigators are forced to make decisions based on fragmented data. That puts officers (and the public) at risk and can further compromise investigations. The Courts are also impacted when cases are dismissed due to insufficient evidence or misleading information.

With the reimagined and purpose-built Intel:ID, analysts can now quickly assimilate stored data and live data streams to resolve identities and develop an advanced foundation for analysis. Intel:ID can reduce duplicate rates from an average of 5-15% to less than 1% with advanced entity resolution while providing enhanced investigative tools including natural language processing.  Those resolved identities can then be related to each other through visualizations that show how persons, places, and objects intersect, even across multiple degrees of separation. With the right data in the right context, analysts can take timely action.

And since Intel:ID  issues real-time alerts, investigators can immediately act on high-value targets, relationships of interest, abuse of identity information, and other established adata driven threshold events.

Data can even be anonymized to protect sensitive details, while still allowing that data to contribute to the larger picture.

Now partnered with Senzing, the leader in real-time AI for Entity Resolution

We’re especially excited to be partnered with Senzing, the industry leader in using real-time artificial intelligence to discover and tag records and relationships within large volumes of data.

By combining Intel:ID with Senzing’s entity resolution engine, law enforcement agencies can now link persons of interest to related documents or other entities, then easily access the full document with a single click. By augmenting  data with valuable external data improves the identification of non-obvious relationships that can contribute to a single, consolidated and coherent entity for shared intelligence.

Integrating with IBM i2 Analyst’s Notebook

The new Intel:ID includes a custom plug-in that seamlessly integrates with IBM i2 Analyst’s Notebook, helping investigators focus on building out the investigation with potential relationships while consolidating data into a complete person-centric dossier that can be shared through mobile applications.

The plugin allows investigators to discover undisclosed and undetected relationships between entities, enabling an investigator to exclude or include specific entities from that path.

Get started with Intel:ID

Over 20+ years of work, we’ve refined Intel:ID to help investigators with focused, pragmatic solutions that are affordable for agencies of any size.

Investigate how Intel:ID can help your department, or contact me at to schedule a demonstration.