The highly customizable and scalable Enkia Sentinel Platform combines case-based reasoning (CBR) with

• adaptive artificial intelligence (AI) engines,
• rule base policies, and
• powerful statistical tools

in a multi-tiered architecture specifically geared for solutions requiring real-time analysis and decision-making.

Enkia Advisor

• When reliable and accurate decision-making support is required for solving complex problems that are encountered repeatedly.
• When prior knowledge of how this (or similar) problems were solved in the past is available and can be captured in a case-base.

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Application Examples

• Real-time equipment maintenance and diagnostics (GE Power)
• SAIC

Enkia Navigator

• When personalized search is required to explore and evaluate many possible solutions in a specific context.
• When accurate requirements and search constraints are not well-defined initially and may change during the course of the search.
• When search conditions are specified in natural language (unstructured or semi-structured text).

Application Examples

• Searching US Patent and Trade Office databases for patents in specific areas.
• Intelligent travel/vacation planning

Enkia Monitor

• When large amounts of textual information have to be monitored, reviewed, annotated (and/or sanitized) to meet organizational information policies.
• When semantic analysis is required because Bayesian filtering or keyword-based searching alone do not provide the required accuracy.
• Information policies have be learned dynamically.

Application Examples

• Security policy based content mark up and sanitization to meet responsibility to share objectives without compromising information security (govt. cross domain sharing applications
• Sharing information in collaborative Web 2.0 platforms (blogs/wikis) on a need-to-know basis