MindMeld

MindMeld (Cisco) — Conversational AI Platform for Deep-Domain Voice Interfaces and Chatbots

MindMeld is a conversational AI platform designed to build advanced voice and text agents for specialized domains. It provides end-to-end capabilities to design, train, and deploy chatbots and voice assistants that handle complex, domain-specific interactions across multiple channels.

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Key Use Cases / Blueprints

MindMeld ships blueprints to accelerate development for common scenarios:

• Food Ordering: Build conversational apps that let users order food or drinks for delivery from nearby restaurants.
• Video Discovery: Create experiences to browse and find movies and TV shows from a large content catalog.
• Home Assistant: Develop smart home assistants to control devices and appliances.

You can view and customize these blueprints to fit your specific domain and data.

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How It Works

• Design intents, entities, and dialogue flows tailored to a deep-domain use case.
• Train natural language understanding (NLU) models to interpret user input and map to actions.
• Implement business logic and integrations (e.g., ordering systems, content catalogs, device control).
• Deploy across voice and chat channels with consistent behavior and scalable performance.
• Leverage pre-built blueprints as starting points and extend them to your needs.

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Getting Started

• Explore the blueprints to model typical conversations for your domain.
• Use MindMeld’s tooling to author intents, entities, and dialogue policies.
• Connect to external services (order systems, catalogs, smart devices) to fulfill user requests.
• Iterate with real user data to improve NLU and dialogue management.

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Company and Community

• Numerous companies have used MindMeld for various AI-powered conversational solutions.
• The platform has an active set of developer stories and resources illustrating practical implementations across industries.

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Resources

• Documentation and blog content covering deep-domain conversational AI concepts
• Developer stories and case studies highlighting real-world usage
• Get started guides and integration examples

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Core Features

• Deep-domain conversational AI platform for voice and text
• Domain-specific NLU, dialogue management, and fulfillment
• Ready-made blueprints for Food Ordering, Video Discovery, and Home Assistant
• Channel-agnostic deployment (voice assistants and chatbots)
• Extensible integrations with external systems and devices
• Tools for authoring intents, entities, and dialogue policies
• Scalable architecture suitable for enterprise use
• Access to developer resources, documentation, and community stories