Faster CAI development – in any language

Teneo Languages allow organizations to create high-quality multilingual applications in less time, and with less effort, than ever before.

Develop once – deploy across languages


Languages are the powerhouse of our platform’s linguistic capabilities. Under continuous development for over a decade, these natural language understanding building blocks are crucial in enabling enterprises to quickly build conversational applications that can truly comprehend what the user is saying, in over 86 different languages. The ‘Master/Local’ approach enables organizations to expand their conversational AI applications across other languages, simply by ticking a box.

Thanks to the Teneo NLU Ontology and the way the platform structures the development, it is possible to have a master version in one language, and be able to localize in any other, typically reusing about 80% of the original build with no need to start from scratch. For example, the specific language structures and models for a Swedish bank can be easily ported to operations in Poland, Germany, France, United States, Brazilian Portuguese, Russia or Japan.

Artificial Solutions has an extensive patent portfolio that was created while developing our conversational AI-platform Teneo and our product, LUIS^Teneo. Some of the patents are currently used by Apple, Microsoft, IBM, Google and Accenture. The forward citations of our patents in Published patents have since 2019 grown from 175 to 307 and in Patent Applications from 170 to 619. On average our patents are cited more than two times the industry average.

"By using Teneo, Scania has quickly built a number of chatbot applications in multiple languages. Taking advantage of the platform’s features, our team has been able to repurpose solutions created in one language, by expanding them to new languages and markets, faster and more efficient than what we have been able to do before. We have also seen great success in our democratization efforts, thanks to the visual representations and low-code aspects of Teneo."

Torbjörn Oliveira Lunå, Business Automation at Scania

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.

Gif of Teneo Languages components

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 80 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.

Explore our full set of features

Teneo is packed with a set of technical features that allow developers and business users to create highly intelligent conversational AI applications in record time.

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Fast-track CAI Development

Being able to pursue CAI Development  in 86 languages is already an advantage but making the process easier and faster is a game changer.

This is where our Teneo Linguistic Modeling Language comes in; our proprietary syntax language enables non-linguist developers to skip several steps in a typical build process. This unique and powerful modeling language automatically applies language conditions such as understanding when the word book is used as a noun or verb in a sentence, recognizing sentiment or providing a safety net to further ensure a humanlike conversational experience in the final product.

Developers can also use our conversational modules, which deliver pre-built integrations.

Gartner, the lead research and advisory firm on emerging technologies, has some answers. In their “Guidance Framework for Evaluating Conversational AI Platforms” (2020) they offered a detailed step-by-step framework for successful CAI implementations, breaking down the main aspects for enterprises to watch for while looking for vendors.

What is the value of prebuilt integrations?

According to Gartner, 92% of the Virtual Customer Assistant implementations are to be integrated with some shape or form of an enterprise application. Teneo offers prebuilt connectors with enterprise systems through both cloud and on-premise APIs. Teneo connectors allow developers to expose their applications via different channels (web, voice, IVR, mobile, social media platforms, etc.), as well as integrate with backend systems of different types (live chat systems, call centers, CRMs, CMS, RPA providers, ticketing and issue tracking systems. All vital for CAI Development.

"As you investigate your chatbot use cases, consider the benefits of using the prebuilt capabilities of enterprise application offerings. Significant time and effort go into creating conversations, establishing the required workflow and integrations, and testing and launching the chatbot. Prebuilt offerings directly mitigate this risk and challenge."

Gartner, Guidance Framework for Evaluating Conversational AI Platforms

Learn more about Teneo’s other core modules

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