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Understands and converts natural language-based information including conversations to structured form. Delivers highly accurate and fully explainable outputs using a low compute footprint.
Understanding natural language and unstructured information is the core capability of a cognitive engine. Syntactic and semantic analyses are performed using a composite knowledge base. Our cognitive engine powers multiple solutions including analyzers for industry reports and conversations. The engine can be plugged into larger systems such as a contact center solution.
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Highly accurate performance relies on the ability to flexibly model business processes, industry equipment and product specs, and other related domain knowledge.
For example a wireless router’s specifications and troubleshooting process are easily captured in our flexible and updatable knowledge model.
The result is a solution that leads the user logically through a process and generates answers that are not pre-fed. No training data are involved.
The solution permits the user to delve into conversations to understand meaning and context.
This is possible because of a flexible knowledge representation system and it’s logical and reasoning abilities.
The result is fully understood questions and conversations – Voila !
Deep insights based on semantic understanding, lead to granular insights and lower risk
