Proven tools for proven results
Create intelligent IVR, chatbot, and messaging experiences with intuitive tools built on Nuance speech and AI technologies, APIs, and microservices.
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Define Intents and Entities (Open a new window)
Train your NLU model with sample phrases to learn to distinguish between dozens or hundreds of different user intents. For each intent, define the entities required to fulfill the customer request. Create custom entities based on word lists and everyday expressions or leverage ready‑made entities for numbers, currency, and date/time that understand the variety of ways customers express that information.
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Test the Model (Open a new window)
Train the NLU model at any time and test it against practice sentences. Identify problem areas where intents overlap too closely, confidence levels need to be boosted, or additional entities need to be defined.
NLU and Speech Recognition Tuning
Deploy the trained NLU model both to the NLU engine and at the same time, as a domain language model, to the speech‑to‑text transcription engine. This provides the highest accuracy in speech recognition results, semantic parsing, and understanding of user utterances based on your application’s specific language domain.
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Organize projects and manage access (Open a new window)
Manage conversational AI projects across your enterprise. Define the supported languages, channels, and modalities on a per‑project basis.
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Promotion flows (Open a new window)
Control project versions by integrating with common version management systems. Define deployment packages, and promote them from a sandbox environment to staging and production environments across multiple regions or data centers. Roll back immediately in case of problems with a new version.
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Manage Project Settings (Open a new window)
Add additional languages or additional channels and modalities to your projects.