Glean – AI-Powered Enterprise Search and Knowledge Discovery

Glean is an AI-driven enterprise search platform designed to personalize and streamline access to company data. It helps teams find information across various applications quickly, enhancing workplace productivity and knowledge management. This tool is particularly valuable for modern businesses, from startups to large enterprises, looking to optimize their internal search capabilities. For organizations focused on improving information retrieval, exploring other research and discovery tools can provide additional context.

By leveraging semantic understanding, Glean moves beyond simple keyword matching to interpret the intent behind natural language queries. This makes it a powerful solution for companies dealing with fragmented data across multiple platforms.

What is Glean?

Glean is an advanced enterprise search and knowledge discovery platform that uses artificial intelligence to provide semantic understanding for natural language queries. It helps teams find relevant information across a company's various applications, documents, and conversations.

The tool is designed to benefit a wide range of enterprises, improving how they manage and access their internal knowledge base. It functions as more than just a search engine; it's a comprehensive solution for connecting people with the information they need to work effectively. This aligns with the broader category of business, finance, and legal tools that aim to streamline complex organizational processes.

Key Features

• Vector search powered by deep learning-based Large Language Models (LLMs) for semantic understanding of queries.

• Continuous, automatic training on a company's unique language and context to improve search relevance.

• A generative AI assistant that delivers answers, analyses, and summaries from documents and conversations.

• Personalized search results and knowledge discovery via a knowledge graph that understands people, content, and interactions.

• Easy integration with over 100 connectors to existing apps, with enforced data source permissions.

• Strong data security and privacy, ensuring all interactions are secure and permission-aware.

Use Cases

• Large enterprises managing extensive data across various departments and platforms.

• Startups streamlining information retrieval and knowledge management processes.

• IT operations teams needing quick access to technical documentation and resources.

• Business analysts gathering insights from across multiple data sources.

• HR departments managing employee information and policies.

• Marketing teams researching and compiling data for campaigns.

Underlying AI Models or Technology

Glean's core technology is built on vector search powered by deep learning-based Large Language Models (LLMs). This enables semantic understanding, allowing the tool to interpret the meaning and intent behind natural language queries rather than relying solely on keyword matching. The system continuously trains on a company's unique language, jargon, and context to improve relevance automatically.

These capabilities are rooted in advanced natural language processing models and semantic search technology. The platform also employs a knowledge graph to map relationships between people, content, and interactions, which fuels its personalized discovery and generative AI features for answering questions and summarizing information.

Pricing

Glean operates on an enterprise pricing model. The company offers a free trial for organizations to evaluate the platform's capabilities within their own environment. Specific pricing details are available upon request and are typically customized based on the size of the organization and the required feature set.

Pros and Cons

Pros

• Powerful semantic search that understands natural language and company-specific context.

• Extensive integration capabilities with over 100 enterprise application connectors.

• Strong emphasis on data security, privacy, and permission-aware results.

• Generative AI features provide answers and summaries, enhancing productivity.

Cons

• New users may face a learning curve to fully utilize the platform's advanced features.

• Search effectiveness is highly dependent on the quality and structure of the company's existing data.

• Pricing is enterprise-oriented and requires direct contact, lacking transparent self-service tiers.

Alternatives

Several other platforms offer enterprise search and knowledge management solutions. For teams specifically focused on human resources functions, specialized tools may also be relevant.

• Microsoft Viva Topics: Uses AI to organize content and expertise across Microsoft 365.

• Slack's built-in search and upcoming AI features for finding information within conversations.

• Confluence with advanced search and AI-powered summarization.

• Elasticsearch (self-managed or via Elastic Cloud) for organizations wanting to build a custom search solution.