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.
Enkia Sentinel provides businesses with customized solutions that empower them with real-time knowledge for making enterprise decisions. Sentinel combines business data and human information with artificial intelligence software to identify and recommend sound solutions for system and equipment maintenance and performance. Sentinel is built on proprietary case-based reasoning technology developed at GA Tech and was originally launched commercially in 1998. In the six years since its launch, Sentinel has evolved to offer comprehensive solutions that are comprised of three areas of expertise: Fault Prediction, Automated Diagnosis, and Interactive Self-Service.
- Fault Prediction:
Sentinel provides proactive failure prediction through continuous monitoring of systems. Placed on-board equipment or within the data collection stream, it acts as a guardian and sends notifications about potential problems that could lead to failure or other undesirable operating conditions. Its integration with current system monitoring allows Sentinel to identify needed maintenance based on learned machine behavior and recognize potential problems before they occur. Sentinel learns and provides solutions just as humans do, by comparing new information with historical records to make intelligent recommendations based on past performance.
- Automated Diagnosis:
Sentinel provides automated resolutions to problems observed on monitored systems. The Performance Analyst acts as a troubleshooter that automatically diagnoses the cause of errors and recommends corrective actions using historical operating information. By continuously updating its database, the Performance Analyst automatically learns and improves over time, and requires significantly less maintenance than other approaches.
- Self-Service:
Sentinel individuals with self-service capability through an easy-to-use interface. More than mere search engine technology, the Interactive Solution Archives adapts to the users criteria and issues intelligent, customized responses based on the ongoing system learning. AIDE Interactive Solution Archives uses artificial intelligence technology to adaptively self-learn over time, producing increasingly accurate answers to complex questions.
- Custom Solutions:
For custom solutions derived from complex proprietary data sets, Enkia can provide answers from your data without requiring any purchase of special software or equipment.