Glean is an AI-powered work assistant that searches across all your company's apps and internal data to find exactly what you need and generate answers, insights, and summaries.
Glean is a sophisticated enterprise search and knowledge discovery platform designed to function as a universal work assistant for modern companies. It securely connects to and indexes an organization's full suite of SaaS applications, internal wikis, and communication channels, creating a single, comprehensive search experience. Glean is built for knowledge workers in fast-paced, information-heavy environments, from rapidly scaling tech companies to large, established enterprises. Its unique value lies in using advanced AI and large language models to understand the context, permissions, and relationships within company data, delivering highly personalized and relevant results. Beyond just finding documents, Glean's generative AI capabilities can synthesize information, answer complex questions, and assist with content creation based on the company's collective knowledge.
Mid-market to large enterprise companies, particularly for knowledge workers in departments like engineering, sales, marketing, support, and HR who need to find information across many disparate systems.
Based on 0 reviews
2019
Palo Alto, USA
Enterprise
Glean's pricing is tailored to each organization based on factors like company size and the number of integrations. Prospective customers must contact the sales team for a custom quote and demo.
Custom
A strong choice for organizations deeply embedded in the Microsoft ecosystem, as it offers tight integration with Teams, Outlook, and Office apps.
A highly powerful and customizable enterprise search platform that is often chosen for complex, large-scale deployments that may include customer-facing search experiences.
A better fit for teams that need to proactively capture and verify institutional knowledge in a structured way, rather than primarily focusing on federated search.
An open-source, developer-focused solution for teams with strong engineering resources who want to build a completely custom internal search engine from the ground up.
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