Movia - Analyze, Predict, Warn

Movia, based on over $40 million in DoD and Intelligence Community research investment in contextual pattern recognition, Movia enables prediction of threats and opportunities in Big Data.

Movia is Modus Operandi’s prime platform for providing solutions that release-the-genius in current Big Data repositories or legacy data resources.

Movia adds powerful logic, reasoning, and active-analysis to your existing infrastructure.

BIOIQ - Sample Movia Application

BIOIQ – A sample Movia application for monitoring gene sequencing projects for dangerous bacteria


Movia Reasoner

Movia provides the ability to quickly extend your enterprise data architecture; tactically add-on “ever-alert” software agents; monitor your data for patterns-of-interest; predict and classify emerging patterns for threats and opportunities; and provide just-in-time warnings. It’s like a friendly tap-on-the-shoulder to let you know you should “WATCH-OUT.”

Movia is the best tactical solution for delivering smart-analytic solutions that:

  • Plug into existing architectures
  • Provide standard connector API’s
  • Have both streaming and batch operational modes
  • Provide an easy-to-extend component architecture
  • Deploy with a low impact, small deployment footprint



Movia “senses” the world by consuming raw information from a wide variety of sensor and device types, info services, news and social media feeds, documents and reports, and Big Data repositories. Batch or streaming data is ingested, fused, and converted into rich representations in the form of semantically-linked fact-graphs of entities and their relationships.


Streaming Big Data

Movia provides layered logical models to represent the tactical subset of the current data-of-interest from the larger super-set of available Big Data resources. Inside, Movia data is modeled in tiers from lower-level raw data sources, up to the terms, entities, objects and concepts used in your day-to-day decision making, and on up further through higher-order concepts such as the time, space, threat, opportunity, quality, etc. This rich and layered representation makes sure that any of your data exploration, analysis, results, decisions, or warnings maintain cognitive consistency and are easily understood your user community.


Movia connects to your enterprise Big Data sources and to downstream systems



Most Big Data Analysis seeks to understand what happened in the past, otherwise known as forensic analysis. This is important, but it only sets the stage for turning the results of analysis into action.

Movia provides an easy to use wiki-like user interface to explore Big Data resources and find patterns-of-interest that are imperative to watch in the future. Analysts can search, filter, link, and comment on findings. They can also refine their understanding and collaborate with other analysts in real-time using Movia.

Patterns-of-interest can represent both snapshots in time as well as:

  • Trends of activity over time
  • Profiles of customers
  • Clusters of related data
  • Correlations between events
  • Almost anything.


Movia Agents

The built-in Movia REASONER applies logical rules to look for patterns that represent threats or opportunities. A partial, fuzzy, emergent, or imminent pattern is assessed relative to a model of threat / opportunity, and trust in specific situational contexts is tailored to your organization’s concerns. If a threat / opportunity threshold is exceeded, an alert is published to notify any downstream systems or users who have subscribed to a Movia ALERTS Channel. Movia ALERTS can broadcast warning messages via SMS Text, e-mail, and visual popups in user interfaces. Movia ALERTS contain links back to Movia VIEWS for explanations of what occurred and why the warning was issued.

Movia ALERTS are also used by Movia to talk to other problem solving Movia AGENTS. Large-scale solutions can be decomposed in this way, enabling a distributed asynchronous collection of smart Movia AGENTS, to work on different aspects of a bigger problem.

Movia provides a complete and customizable user interface (UI), Movia VIEWS. This container framework has robust navigation, search, and customization capabilities. Movia VIEWS is driven from its own semantic ontology model, where the UI provides a dynamic framework for tailoring the user experience quickly and flexibly. Each entity in each application’s data knows how to display the important aspects of itself from its unique semantic model.

Movia VIEWS is easily customizable though the creation of custom Movia VIEWS pages and a library of user interface widgets. Movia WIDGETS provide an extensive toolbox to display virtually any type data item through maps, images, timelines, grids, text editors and other widgets.


Modus Operandi’s Wave Exploitation Framework (Wave-EF) automatically identifies key concepts and relationships in unstructured data, tags them, and feeds them to analysts’ tools for correlation and visualization. Wave-EF capabilities are now bundled in the Movia product line.


  • Layered / Distributed Ontologies
  • Best-in-class semantic reasoning
  • Scalability by decomposing Big Data problems into smaller and smarter solutions
  • Moves beyond only forensic data analysis to both real-time and predictive analysis
  • Combines both mathematical + semantic reasoning to monitor and detect complex and incomplete data patterns
  • Deployment-ready for large enterprises with multiple performers and technology providers


Movia is complete – containing all the essential components to activate and empower Big Data analysis