Shelf

Shelf is a GenAI Context Engine designed to ensure the accuracy and trustworthiness of answers generated by AI systems. It addresses the critical issue of poor data quality, which is a major obstacle in GenAI projects, by providing a platform for quality assurance, enhancement, and contextualization of unstructured data. The platform helps companies eliminate bad data in documents and files before it can negatively impact GenAI outcomes. It's particularly beneficial for organizations looking to deploy GenAI with confidence, improve customer experience through better knowledge, and reduce content-related issues. Shelf aims to unblock teams from successfully deploying GenAI by improving the quality of the underlying knowledge content. Shelf is ideal for businesses that rely on large volumes of unstructured data and are implementing or planning to implement GenAI solutions, especially in areas like contact center automation and RAG (Retrieval Augmented Generation) enablement. It helps transform raw, often problematic, content into GenAI-ready data, ensuring consistent and accurate information across various operational markets.