SearchUnify Virtual Assistant (SUVA)
Next-Gen Conversations with Agentic AI: Autonomous, Proactive, and Personalized.
Next-Gen Conversations with Agentic AI: Autonomous, Proactive, and Personalized.
Garrick Greenhalgh
Director, Global Technical Education and Community, Accela
"Your willingness to adapt and refine AVA, based on user input, has played a crucial role in ensuring its usability and effectiveness. The impact of your work extends far beyond the technical realm; it directly contributes to the efficiency, productivity, and overall success of our organization. With the support bot you’ve developed, we are better equipped to serve our customers, streamline processes, and achieve our goals."
Support Cost Savings Per User Interaction
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Reduce L1 caseload, faster and contextual self-service
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Simplified IT workflow support, reduced employee effort
Go beyond basic RAG - experience a next-level solution with our federated retrieval agent for seamless, intelligent interactions
Enabling Context-aware, Personalized and Efficient Conversational AI Experiences
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SUVA is a next-generation conversational AI powered by large language models (LLMs) and agentic AI, designed to provide autonomous, proactive, and personalized support for enhanced customer and employee experiences.
SUVA enhances customer support by providing contextual, personalized responses, reducing average handling time, and increasing first contact resolution rates. It also helps reduce customer support operational costs.
Yes, SUVA supports plug-and-play integration with leading public LLMs (such as BARD, OpenAI, and Hugging Face), partner-provisioned LLMs (such as Claude and Azure), and in-house inference models.
SUVA leverages a Federated Retrieval Augmented Generation (FRAG) approach, which enhances user input with context from a 360-degree view of the enterprise knowledge base, ensuring more accurate and contextually relevant responses.
Yes, SUVA offers advanced Speech-to-Text (STT) and Text-to-Speech (TTS) capabilities, allowing users to interact with the assistant using voice commands and receive responses in audio format.
