Semantic Technology
Semantic-based applications use special information models (semantic models) that describe the data they operate on. These semantic models are commonly known as “Ontologies”. Note: Ontologies are different than a database schema. Creating Ontologies is not the same as “data modeling”. More »
Our Expertise
The "Our Expertise" video is still in production. To request more information please contact us.
Rules-based Systems
Our patented Fast Rule Selection Engine (FRSE) was developed to address the memory and performance problems inherent in RETE-based products today. We needed a way to perform Natural Language Understanding (NLP) faster than what can be achieved with traditional approaches. More »
Natural Langauge Understanding
Natural Language Understanding requires establishing the “meaning” of
what is read. For SIRA, “meaning” is the mapping between an
“experience” (e.g. reading something) and a “World View” (represented
by Ontology). In this way, experiences are “understood” in terms of what is already known (the World View).
More »
Application Generation
Coradigm™ was developed to produce near-perfect code while decreasing overall cost across the application lifecycle, including initial development, validation and verification, deployment, and ongoing maintenance. More »
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