Funding
Funding not disclosed
Founders
Product
Problem
Current voice AI solutions often lack the sophisticated linguistic capabilities, comprehension, and reasoning required for complex human-machine interactions. This limitation prevents businesses from fully automating frontline engagement, delivering truly personalized user experiences, and achieving significant operational efficiencies.
Solution
Vaani Research develops advanced voice AI agents designed for complex, human-like conversations. Their proprietary framework provides the necessary linguistic skills, deep comprehension, and robust reasoning to enable nuanced human-machine dialogue. This allows businesses to automate customer interactions, offer hyper-personalized user journeys, and reduce operational overhead. The platform focuses on building intelligent agents capable of consultative conversations, moving beyond basic conversational bots.
Target Audience
The primary customers are businesses seeking to enhance customer engagement and operational efficiency through advanced voice AI, particularly those in sectors like healthcare, BFSI, e-commerce, and hospitality.
Features
- **Proprietary NLU:** Utilizes advanced in-house Natural Language Understanding models for accurate intent and entity extraction without predefined intents, enabling deeper comprehension and reasoning.
- **Generative AI Models:** Leverages large language models fine-tuned for customer service use cases, with plans to launch a specialized Small Language Model (SLM) for contact center applications.
- **Dynamic Dialogue Management:** Employs a patent-pending approach to dialogue management that allows users to complete transactions while maintaining conversational flexibility.
- **Real-time Spoken Language Understanding (SLU):** A full SLU stack that enables real-time detection and modification of faulty speech outputs, including a noise-separator unit for clarity in noisy environments.
- **United ASR:** Integrates a combination of fine-tuned Automatic Speech Recognition (ASR) models, selected based on context for optimal accuracy.
- **Natural Speech Synthesis:** Generates life-like, empathetic speech using real and synthesized voices with a "course-correction" mechanism for hyper-personalized experiences.
- **Retrieval Augmented Generation (RAG):** An in-house RAG module, "Amber," capable of performing retrieval tasks on high-volume data of any format with low hallucination rates.
- **Contextual Recall & Reasoning:** Features dynamic dialogue state tracking, intelligent path planning, and infinite contextual recall for seamless, human-like conversational flow.