Why look beyond Glean

Glean provides an AI-powered enterprise search and knowledge discovery platform, aiming to improve internal productivity by centralizing information and delivering personalized answers across connected applications. It is recognized for its ability to integrate with a wide range of enterprise software and its focus on natural language querying through AI. Organizations typically consider alternatives to Glean for several reasons, including specific ecosystem preferences, the need for deeper customization of AI models, or a desire for broader AI development capabilities beyond knowledge retrieval. Some enterprises may prioritize solutions that are native to their existing cloud infrastructure, such as Microsoft Azure or Google Cloud, to streamline management and compliance. Others might require a platform with more extensive data governance features or a different approach to integrating generative AI into their workflows. The scale of an organization's data, the complexity of its security requirements, and the need for domain-specific AI training can also influence the decision to explore other enterprise search or AI knowledge assistant options.

Top alternatives ranked

  1. 1. Coveo — AI-powered search and recommendations for digital experiences

    Coveo offers an AI-powered platform for enterprise search, recommendations, and personalization across various digital touchpoints, including websites, e-commerce platforms, and internal knowledge bases. Unlike Glean's primary focus on internal knowledge discovery, Coveo extends its capabilities to customer-facing applications, aiming to improve customer experience and drive business outcomes through relevance. Its platform leverages machine learning to understand user intent, personalize content, and deliver relevant results, whether for employees seeking internal documents or customers browsing products. Coveo provides a robust set of APIs and connectors for integrating with a wide array of enterprise systems, supporting custom implementations and advanced analytics. The platform's strength lies in its ability to unify disparate data sources and apply AI to optimize search and recommendation algorithms, contributing to improved conversion rates and operational efficiency for both internal and external users.

    Best for: Enterprises requiring AI-powered search, recommendations, and personalization for both internal knowledge management and external customer-facing applications.

    Learn more: Coveo profile

    Official site: Coveo official website

  2. Elastic Enterprise Search is a suite of tools built on the open-source Elasticsearch engine, providing unified search capabilities across an organization's data. This includes workplace search for internal documents, site search for websites, and app search for custom applications. While Glean focuses specifically on AI-driven internal knowledge discovery, Elastic offers a more flexible and extensible platform that can be deployed across various use cases, leveraging the power of Elasticsearch's full-text search and analytical capabilities. It provides granular control over indexing, relevance tuning, and security, making it suitable for organizations with complex data architectures or specific compliance requirements. Elastic's open-source foundation and extensive ecosystem allow for deep customization and integration with existing data pipelines and applications. Its strength lies in its scalability, performance, and the ability to handle diverse data types and volumes, making it a strong contender for organizations seeking a highly configurable search solution.

    Best for: Organizations needing a highly customizable, scalable, and open-source-driven search solution for internal, website, and application search across diverse data sets.

    Learn more: Elastic Enterprise Search profile

    Official site: Elastic Enterprise Search official website

  3. 3. Swiftype — AI-powered search for websites and enterprise content

    Swiftype, an Elastic product, provides AI-powered search solutions specifically designed for websites and enterprise content. Similar to Glean, it aims to enhance discoverability, but its primary focus is often on external-facing website search or specific internal content repositories, rather than Glean's broader enterprise knowledge unification. Swiftype offers two main products: Site Search, which provides customizable search experiences for websites, and Enterprise Search, which focuses on indexing and searching internal documents and applications. Its platform emphasizes ease of implementation, intuitive administration dashboards, and real-time analytics to help optimize search results. Swiftype leverages machine learning to improve relevance and provides tools for fine-tuning search algorithms without extensive coding. For organizations prioritizing a streamlined, managed search solution with strong analytics for website visitors or specific internal content, Swiftype offers a compelling alternative to Glean's broader knowledge assistant approach.

    Best for: Businesses seeking easy-to-implement, AI-powered search for their websites or specific enterprise content repositories, with a focus on analytics and relevance tuning.

    Learn more: Swiftype profile

    Official site: Swiftype official website

  4. 4. Microsoft 365 Copilot — AI-powered productivity assistant integrated across Microsoft 365

    Microsoft 365 Copilot integrates generative AI capabilities directly into the Microsoft 365 suite, including applications like Word, Excel, PowerPoint, Outlook, and Teams. While Glean focuses on unifying knowledge across various enterprise applications, Copilot leverages an organization's data within the Microsoft 365 ecosystem to assist with tasks such as drafting documents, summarizing emails, generating presentations, and facilitating meeting summaries. It acts as a productivity assistant, providing contextual suggestions and automating routine tasks by accessing information from chats, documents, emails, and meetings within the Microsoft Graph. For organizations heavily invested in the Microsoft ecosystem, Copilot offers a seamless and deeply integrated AI experience that enhances individual and team productivity directly within their daily workflows. Its strength lies in its native integration with widely used productivity tools, offering a different approach to knowledge leverage compared to a standalone enterprise search platform.

    Best for: Enterprises deeply integrated into the Microsoft 365 ecosystem seeking to enhance employee productivity and workflow automation with AI assistance across core applications.

    Learn more: Microsoft 365 Copilot profile

    Official site: Microsoft 365 Copilot documentation

  5. 5. Google Vertex AI — Unified ML platform for building and deploying AI models

    Google Vertex AI is a managed machine learning platform that provides tools for building, deploying, and scaling ML models, including generative AI models. Unlike Glean, which is an out-of-the-box enterprise search solution, Vertex AI offers a comprehensive environment for data scientists and developers to create custom AI applications from the ground up. This includes access to Google's foundational models, MLOps tools, and infrastructure for training and serving models. While it requires more technical expertise to implement a knowledge discovery solution comparable to Glean, Vertex AI provides the flexibility to build highly specialized AI assistants, custom search engines, or RAG (Retrieval Augmented Generation) systems tailored to an organization's unique data and business logic. For enterprises with strong AI development capabilities and a need for deep customization, Vertex AI offers the underlying infrastructure and tools to create bespoke AI knowledge solutions.

    Best for: Organizations with strong AI development teams looking to build custom, highly specialized AI applications, generative AI solutions, or RAG systems using a comprehensive ML platform.

    Learn more: Google Vertex AI profile

    Official site: Google Vertex AI documentation

  6. 6. Azure OpenAI Service — Integrating OpenAI models securely within Azure

    Azure OpenAI Service provides access to OpenAI's powerful language models, including GPT-4, GPT-3.5 Turbo, and embedding models, within the security and enterprise-grade capabilities of Microsoft Azure. While Glean offers a pre-built knowledge assistant, Azure OpenAI Service allows developers to integrate these advanced AI models into their own applications, including custom enterprise search solutions, intelligent chatbots, and content generation tools. This service enables organizations to leverage cutting-edge generative AI while adhering to Azure's compliance, data privacy, and network security standards. For companies looking to build bespoke AI-powered knowledge solutions or augment existing systems with generative AI capabilities, Azure OpenAI Service offers the foundational models and infrastructure. It provides more granular control over model deployment and data handling compared to a packaged solution like Glean, catering to specific architectural and security requirements.

    Best for: Enterprises seeking to integrate OpenAI's advanced generative AI models into custom applications within a secure, compliant Azure environment, building bespoke knowledge solutions.

    Learn more: Azure OpenAI Service profile

    Official site: Azure OpenAI Service overview

  7. 7. Anthropic Enterprise (Claude for Work) — Secure, enterprise-grade AI for internal knowledge and productivity

    Anthropic Enterprise, also known as Claude for Work, provides secure access to Anthropic's Claude family of large language models, specifically designed for enterprise use cases. Similar to Glean, it aims to enhance internal knowledge management and productivity, but through direct interaction with highly capable generative AI models. While Glean focuses on search and retrieval across integrated applications, Anthropic's offering allows organizations to leverage Claude for tasks like summarizing documents, answering complex questions, generating content, and assisting with coding, all while maintaining enterprise-level security and data privacy. It can be integrated into existing workflows to augment human intelligence and accelerate information processing. For businesses prioritizing advanced conversational AI capabilities and robust ethical AI principles for their internal operations, Anthropic Enterprise offers a powerful alternative that can be used to build or enhance knowledge-centric applications, providing direct AI assistance rather than solely a search interface.

    Best for: Enterprises prioritizing secure, advanced generative AI models for internal knowledge management, content generation, coding assistance, and complex question answering within a controlled environment.

    Learn more: Anthropic Enterprise profile

    Official site: Anthropic official website

Side-by-side

Feature Glean Coveo Elastic Enterprise Search Swiftype Microsoft 365 Copilot Google Vertex AI Azure OpenAI Service Anthropic Enterprise
Core Focus AI-powered enterprise knowledge discovery AI search, recommendations, personalization (internal & external) Unified search for all data (workplace, site, app) AI search for websites & specific enterprise content AI productivity assistant within Microsoft 365 End-to-end ML platform for custom AI Secure access to OpenAI models in Azure Enterprise-grade LLMs for internal use
Primary Use Case Instant answers, internal productivity Enhanced customer experience, internal knowledge management Customizable search for diverse data sources Website search, specific content search Document creation, email summarization, meeting notes Building custom generative AI, RAG systems Integrating LLMs into custom enterprise apps Advanced Q&A, content generation, code assistance
Integration Ecosystem Broad enterprise app connectors Extensive connectors for CRM, CMS, ERP Open-source, flexible data source integration Website platforms, limited enterprise apps Native to Microsoft 365, Microsoft Graph Google Cloud ecosystem, open-source tools Azure services, custom application integration API integration into custom enterprise apps
Customization Level Configurable search experiences High, with APIs and ML models Very High (open-source Elasticsearch) Moderate, via dashboards and APIs Limited (pre-built features within M365) Very High (full ML lifecycle control) High (model fine-tuning, prompt engineering) High (model selection, prompt engineering)
AI Model Access Proprietary AI for search relevance Proprietary AI for search & recommendations ML-powered relevance, custom models AI for relevance and content understanding Microsoft's generative AI models Google's foundational models, custom models OpenAI models (GPT-4, etc.) Anthropic's Claude models
Deployment Model SaaS SaaS Cloud, On-premise, Hybrid SaaS SaaS (within M365) Cloud (Google Cloud) Cloud (Microsoft Azure) Cloud (API access)
Developer Focus APIs for connectors & search APIs, SDKs for integration APIs, extensive documentation, open-source APIs for site search integration Implicit through M365 extensibility ML engineers, data scientists Developers integrating LLMs Developers integrating LLMs

How to pick

Selecting an alternative to Glean involves assessing your organization's specific requirements for knowledge discovery, AI integration, and operational context. Consider the following decision-tree style guidance:

  • If your primary need is a comprehensive, AI-powered search and recommendation platform for both internal and external (customer-facing) applications:
    • Consider Coveo. It excels at unifying data across various systems to deliver personalized search results and recommendations, aiming to enhance both employee and customer experiences.
  • If you require a highly customizable, scalable, and open-source-driven search solution capable of handling diverse data types and deployment environments:
    • Evaluate Elastic Enterprise Search. Built on Elasticsearch, it offers granular control over indexing, relevance, and security, making it suitable for complex enterprise data architectures.
  • If your focus is specifically on enhancing website search or providing a managed search solution for particular internal content repositories with strong analytics:
    • Look into Swiftype. It provides AI-powered search with an emphasis on ease of use, analytics, and relevance tuning for specific content sets.
  • If your organization is heavily invested in the Microsoft 365 ecosystem and seeks to enhance productivity directly within those applications using generative AI:
    • Microsoft 365 Copilot is a strong contender. It integrates AI assistance across Word, Excel, PowerPoint, Outlook, and Teams, leveraging your organization's data within the Microsoft Graph.
  • If you have a dedicated AI development team and need a comprehensive platform to build custom AI applications, including generative AI solutions and RAG systems, from the ground up:
    • Explore Google Vertex AI. It provides a full ML lifecycle management platform with access to Google's foundational models and MLOps tools for bespoke AI development.
  • If you want to integrate OpenAI's advanced generative AI models into your custom enterprise applications within a secure, compliant Azure environment:
    • Azure OpenAI Service offers access to models like GPT-4 with Azure's enterprise-grade security and data privacy features, ideal for building custom AI-powered knowledge solutions.
  • If your priority is secure, enterprise-grade access to advanced large language models (LLMs) for internal knowledge management, content generation, and complex question answering, with a focus on ethical AI:
    • Consider Anthropic Enterprise (Claude for Work). It provides powerful LLMs for direct integration into internal workflows, offering deep conversational AI capabilities.
  • Consider your existing technology stack and cloud provider relationships. Opting for an alternative that aligns with your current infrastructure (e.g., Azure for Microsoft users, Google Cloud for Google users) can simplify integration, management, and compliance.
  • Assess your data governance and security requirements. Different platforms offer varying levels of control over data residency, access management, and compliance certifications. Ensure the chosen alternative meets your organization's specific regulatory and security mandates.
  • Evaluate the level of customization required. If an out-of-the-box solution is sufficient, platforms like Microsoft 365 Copilot or Swiftype might be suitable. If you need to fine-tune models, build custom connectors, or develop entirely new AI applications, platforms like Google Vertex AI or Azure OpenAI Service will provide the necessary flexibility.