"Every component and function of the platform can be used in any of our supported languages. This makes Teneo ideally suited for enterprises looking to deliver high-quality conversational applications across global operations, while maximizing RoI with faster development times and the reuse of existing assets."
Andy Peart, CMSO of Artificial Solutions
Understand Humans Effortlessly
One of the biggest drawbacks of only using machine learning to build conversational AI applications is the staggeringly large amounts of data required to understand humans. What comes naturally to us, the relationships between words, phrases, sentences, synonyms, lexical entities, concepts etc., must be learned by a machine. For enterprises that don’t have a significant amount of relative and categorized data readily available, this is a costly and time-consuming part of building conversational AI applications.
Teneo Languages allow enterprises to teach new conversational applications all the possible language permutations in a matter of moments. Our Teneo NLU Ontology and Semantic Network, map the very structure of language itself, removing one of the most costly and time-consuming parts of building conversational AI applications — teaching a machine to understand human language. Therefore, the user simply enters a few representative queries, and Teneo Languages will enable the application to learn all the different ways a user might ask the same exact question.
Because Teneo is available in over 40 languages, you can deliver geo-specific conversational AI applications with the feel of a consistent global brand. Teneo Languages enable the application to ‘think’ in your native tongue, while delivering the same linguistic sophistication across every other language required. Our technology allows enterprises to share the core knowledge across all deployments whilst retaining the ability to adapt local implementations for different business processes.