Conversational AI Solutions
Build Conversational AI Apps and Voice Agents
Build responsive voice agents and turn conversations into actionable insights with NVIDIA Nemotron™ open models for speech recognition, speaker diarization, translation, speech understanding, and synthesis.
Overview
What Is Conversational AI?
Conversational AI enables people to interact with applications through natural language, using voice or text. NVIDIA brings together open Nemotron models, customization tools, and accelerated deployment software to help developers build voice agents, assist contact center teams, and understand recorded conversations. Combine speech recognition, speaker attribution, language models, and speech synthesis to create applications that understand context and respond naturally.
Benefits
Explore the Benefits of Using Conversational AI
Responsive Voice Experiences
Build assistants that transcribe live speech and deliver natural spoken responses.
Speaker-Aware Insights
Separate participants’ contributions to make meetings and customer conversations easier to review and analyze.
24/7 Multilingual Availability
Use chatbots and AI virtual assistants to resolve customer inquiries and provide valuable information outside of human agents' normal business hours or language expertise.
Deployment Control
Use open-weight models and supported deployment tools to build speech workflows on your infrastructure.
Software
Explore Our Conversational AI Software
Use Cases
How Conversational AI Is Being Used
See how NVIDIA AI supports industry use cases, and jump-start your conversational AI development with curated examples.
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Content Generation
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AI Virtual Assistant
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Agent Assist
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AI Translation
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AI Robot
Content Generation
Businesses are often challenged to extract insights and generate new content from diverse in-house data sources, including text, images, videos, audio, animations, and 3D models. With NVIDIA NeMo, organizations can customize pretrained, RAG-enhanced LLMs. Integrating their domain expertise and proprietary data lets them create relevant, customized, and accurate content tailored to their needs.
AI Virtual Assistant
Businesses are deploying AI virtual assistants to efficiently address the queries of millions of customers and employees around the clock. Powered by customized NVIDIA Nemotron models including LLMs, RAG, and speech AI, these AI teammates deliver immediate and natural-sounding responses, even in the presence of background noise, poor sound quality, and diverse dialects and accents.
Agent Assist
Consumers expect contact center agents to resolve their issues quickly and efficiently. To help human agents deliver the best possible experiences, enterprises across diverse industries are deploying agent assist technology powered by NVIDIA Nemotron models for LLMs, RAG, and speech AI. This technology provides real-time facts and suggestions, helping agents respond more effectively and efficiently. The RAG Blueprint can enhance generative AI applications with quick information retrieval, infusing AI agents with instant knowledge collected from massive volumes of data.
AI Translation
In the global economy, businesses hold millions of online meetings daily and serve customers with diverse linguistic backgrounds. Companies achieve accurate live captioning with real-time transcription and translation, accommodating worldwide accents and domain-specific vocabularies. They can use Nemotron models for summarization and insights, ensuring effective communication and smooth global interactions.
AI Robot
Service robots are increasingly found in hospitals, airports, and retail stores worldwide. They aid frontline workers by handling daily repetitive tasks in restaurants and manufacturing facilities, assist customers in locating store items, and support physicians and nurses in patient care.
Customer Stories
How Industry Leaders Are Driving Innovation With Conversational AI
Adopters
Leading Adopters Across All Industries
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Ecosystem Partners
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Developer Libraries
GPU-accelerate top speech, translation, and language workflows to meet enterprise-scale requirements.
Build GPU-accelerated, state-of-the-art deep learning models with popular conversational AI libraries.
