VoxaClean.ai

Customer service calls and chats are captured, classified, and synthesized, with the data then structured to clean Retrieval Augmented Generation (RAG) data. This cleaned data is optimized for use in vector databases, accessed by the latest large language models (LLMs) of choice, or fully integrated into custom-trained models. This solution provides the easiest and least effort-intensive way for organizations to automatically set up an AI-powered customer service agent. It enables businesses with recurring customer inquiries, such as banks and telecom providers, to streamline their customer service data, improving both operational efficiency and customer satisfaction.