Glean positions itself as enterprise AI 'intelligence layer'
Enterprise search company Glean is positioning its platform as the core "intelligence layer" to unify search, chat, and agentic automation across business applications. The strategy aims to provide the workflow-integrated system that operates beneath various user interfaces. This move comes as major tech companies like OpenAI, Google, and Microsoft embed their own agents into productivity suites, creating a land grab for the enterprise AI market.
- Glean was founded in 2019 by Arvind Jain, a former distinguished engineer at Google who also co-founded the data management company Rubrik. The founding team includes other former Google search engineers. The initial idea was inspired by the loss of Google's internal search tool, Moma, which seamlessly indexes all internal company resources. - The company has raised a total of $765 million over 6 funding rounds. Its most recent funding was a Series F round in June 2025 for $150 million, which brought the company's valuation to $7.2 billion. - Glean's technical approach is a hybrid of traditional information retrieval (IR) signals and modern vector search, a strategy they believe is more effective for enterprise use cases than relying solely on vector search. Their platform is built on a Retrieval-Augmented Generation (RAG) architecture, which combines an LLM for reasoning with a vector database for knowledge to ground responses in company data. - CEO Arvind Jain has explicitly stated that Glean is pivoting from being an enterprise search tool to becoming the essential "middleware" or infrastructure layer for enterprise AI. This strategy focuses on providing the connective tissue between large language models and a company's specific, permissioned data. - Key features of Glean's platform include personalized, permission-aware search results, a prompt library, and an agent builder with orchestration capabilities. The platform integrates with over 100 enterprise applications, including Slack, Jira, Google Drive, and Salesforce. - The market for agentic AI in enterprise operations is projected to grow significantly, from an estimated $2.58 billion in 2024 to $24.50 billion by 2030. This trend is driven by the increasing need for autonomous systems that can execute multi-step tasks and workflows. - Competitors include other enterprise search platforms like GoSearch, Coveo, and Elastic, as well as the native search and AI capabilities being built into Microsoft 365 (Copilot) and Google Workspace (Gemini Enterprise). Common reasons for enterprise teams to evaluate alternatives to Glean include concerns about cost and total cost of ownership (TCO), indexing limitations, and a desire for more flexibility in choosing large language models.
