Data Sheet

LPA's Next Level Intel™ is a suite of collaboration tools for the 21st century intelligence analyst that connects existing data and image repositories. By distilling and refining disparate data from multiple sources, across inter- and intra-locations of information silos, NLI represents the next step in the never-ending demand for better and faster intelligence solutions.

What if...

• You could know more about what you don’t know?
• You could benefit from intelligence already discovered by other analysts…right from your own system?
• You could organize what you know and others know into new, original hypotheses?
• You could visualize the data supporting your hypotheses, spatially and temporally?
• You could share your hypotheses with confidence?
• You could “connect the dots”?

Next Level Intel™ answers these questions for the professional intelligence analyst.

The NLI architecture is simple, readily adapted to any viewer or exploitation system.

Integrated Intelligence

In the diagram of the NLI architecture, above, the two “Agencies” represent any separate intelligence organizations or divisions with separate analyst capabilities, e.g. MASINT and UAV. NLI fully integrates with existing product libraries and analysis tools and supports multiple sensors, to combine motion video, aerial, and satellite photography.

The primary components of the architecture are described below.

NLI Manager™ is a distributed database with the associated services for managing targets and features, with accompanying analyst impressions, in the construct of an analysis project framework. The server is built on open standards including Web Services and Geographic Markup Language (GML). The NLI Manager™ provides interfaces to different applications allowing analysts to share results across applications and organizations. The server records the key characteristics of confidence, relevance and trust as attributes of features, which encourages analysts to share targets earlier in the intelligence cycle. Because the NLI Manager™ is based upon open standards, it can be integrated with any exploitation tool.

NLI Integrator™ provides access to the NLI Manager™ using open web services and enables integration with any incumbent exploitation tools. An analyst using an exploitation tool can identify a target and record it with a level of confidence from 0-100%.

NLI Desktop™ is LPA’s “out-of-the-box” Graphical User Interface (GUI) that demonstrates the capabilities of Next Level Intel™. NLI Desktop™ is built on NLI Integrator™ and allows a user to manage an analysis project, view imagery, create features or targets, record confidence, and search for existing imagery data sources. If the NLI client does not use NLI Integrator™ to plug in to his own GUI, NLI Desktop™ is the standard user interface.

NLI Video Bookmark™ tool is a plug-in to PAR Government Systems GV3.0 Imagery Viewer that allows an analyst to “bookmark” clips of motion imagery, e.g., Predator video. These bookmarks can be saved to NLI as features or targets. Within NLI Desktop™, users can search for and overlay features created from NLI Video Bookmark™. In the future, an analyst will have the ability to search the NLI database for features identified in other video streams.

Custom Web Interface and Custom Mobile Application represent future NLI capabilities.

Collaborative Geospatial Intelligence Analysis

NLI fully enables analysts to track geospatial information as features or targets, similar to other analysis tools. The difference is that NLI records the analyst’s observations regarding these targets and tracks them along with the specific confidence level of every notation. Together these may be tracked as a hypothesis and observed over time for more accurate and timely analysis in evolving situations. As NLI makes these hypotheses available to anyone on the NLI web services network, the process puts more information into the hands of the professional and it contributes to the intelligence community mission of delivering composite intelligence.

Confidence... Trust... Relevance...

NLI encourages analysts to share their "shoebox" of impressions by providing a sliding scale for three aspects of their work: Confidence in their own analysis, based on facts-at-hand; for example, "I am 100% confident that this is the building under surveillance and I am 50% confident that there is new construction that extends the loading facility." Trust measures "how much stock" the analyst puts in to others' hypotheses; for example, "UAV data is too grainy for me to be sure," or "John is usually right on the money with his analysis, so I'll factor that in to mine." Relevance helps sift through mountains of intelligence to stay focused on the specific mission; for example, "That could very well be a new loading dock, but I am assessing collateral damage."