Grasping challenges in classical and generative AI isn't just about implementing research papers and experimenting with models. At Vaani Research Labs, our commitment to innovation drives us to build technology that listens, understands, and empathizes like a human by leveraging a state-of-the-art solutions designed to transform automated voice conversations.
Leverage industry-leading generative large language models, specifically trained for customer service use cases. Team Vaani will also be launching Carbon - our inhouse SLM specifically tuned for the contact center journeys in critical verticals.
Vaani's patent-pending approach to dialogue management is specifically designed to enable customers to complete transactions while retaining the flexibility to navigate the conversation in the way that feels most natural to them.
A combination of high-performing in-house NLU models to accurately extract intent and entities through natural conversations, leading to better coprehension, correct understanding and boosted reasoning without predefined intent.
A full Spoken Language Understanding (SLU) stack enables voice assistants to prevent, detect and modify the faulty speech outputs in real-time. A noise-separator unit distinguishes between the user's voice and background noise for conversations in crowded places.
Leverage a combination of fine-tuned speech recognition solutions. Different models can be leveraged at different points in the conversation based on expected performance in various contexts, in order to ensure the most accurate understanding possible.
A combination of real and synthesized voices based on the voice profile of actual people. Create a life-like, empathetic, on-brand conversational experience, all with 'course-correction' mechanism while also being capable of giving hyperpersonalized experiencs.
Our inhouse RAG module - Amber can perform retrieval tasks on the high-volume data of any shape, size and format
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