Arvind Jain, CEO of Glean, shares insights on how his company developed a successful enterprise AI application by tackling the challenging issues of enterprise search before incorporating large language models (LLMs). Glean serves as a "Google for the workplace," offering a unified search interface that connects various company data sources while adhering to data governance and permissions. The key to Glean's success lies in its powerful search engine, which effectively ranks results using multiple signals, laying the groundwork for its Retrieval Augmented Generation (RAG) architecture. The company is evolving beyond basic question-answering to develop more advanced capabilities, learning from user workflows to automate complex tasks. Additionally, Glean is providing APIs for developers to enhance its platform. Jain highlights that the essence of building a successful AI company is about addressing significant business challenges, using AI as a tool rather than defining the company solely by its AI features.
