Technology :: Enkia Corporation

Ideal decision making is based on having high-quality
recommendations and rationale that are presented quickly and reliably

Enkia has leveraged years of leading-edge research from Georgia Tech's artificial intelligence lab into best-of-breed software. Our products were the first to apply hybrid algorithms based on human cognition and machine learning to the problem of large-scale information analysis. These algorithms combine techniques from case-based reasoning, pattern recognition, temporal prediction, and natural language processing. Enkia's experts optimized these algorithms and packaged them into commercial-strength software to address real business needs.

The Enkia Sentinel Platform is built on proprietary case-based reasoning technology and was originally launched commercially in 1998.

How it works

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.

Natural Language Processing (NLP) automates the process of understanding natural human languages by converting text to formal representations geared for computer analysis.
Enkia uses best-of-breed language parsers and shallow semantic techniques to convert unstructured or semi-structured text into knowledge representations that can be processed subsequently according to application needs.

Case-based Reasoning (CBR) is the process of solving new problems based on predictive analysis, using solutions of similar past problems.
Enkia has successfully developed in-house solutions for clients by applying CBR techniques to real-life customer applications such as equipment maintenance, diagnostics and prognostics.

Policies are used for controlling and regulating the behavior of agents without changing source code.
Rule-based policy configuration simplifies the specification, implementation and management of such controls by system administrators and managers.

Spreading activation is a powerful and user-friendly approach for searching information networks for solutions through interactive and iterative refinement.

Clustering is the classification of data objects into different groups so that the data in each subset share some common trait. Cluster analysis is widely used in many applications to identify patterns in data.

Click on different areas of the image above to learn more about technologies available with the Enkia Sentinel Platform.