
Oct 13, 2025
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By Clive
AI Summary By Kroolo
In modern enterprises, information is scattered across multiple platforms—emails, CRMs, project tools, and cloud drives. The result? Fragmented visibility, slower decisions, and lost productivity. That’s why Enterprise Search has evolved from a convenience to a core infrastructure layer.
AI-powered platforms like Kroolo and Glean are reimagining how organizations find, connect, and act on their data. While both leverage advanced AI and agentic automation, their approaches to enterprise search differ fundamentally. Kroolo integrates search within a unified work management system, while Glean positions itself as a dedicated knowledge and AI agent layer built atop enterprise data ecosystems.
While each platform has its own AI capabilities, take a look at what these platforms have to offer as we move toward Enterprise Search.
Kroolo is an AI-native WorkOS designed for unified project orchestration, automation, and collaboration. It centralizes projects, documents, conversations, and workflows within a single intelligent workspace.
Built with embedded AI agents, Kroolo can generate project boards, structure tasks from prompts, automate dependencies, and deliver actionable insights through AI dashboards. Its platform connects task management with search, communication, and knowledge systems—eliminating data silos within execution layers.
Glean is a Work AI and Enterprise Search platform purpose-built to unify knowledge across systems. It indexes structured and unstructured data—documents, emails, CRM records, databases—and transforms them into an accessible, searchable knowledge graph.
Glean empowers enterprises to deploy AI agents that reason over this data, allowing users to query, summarize, and automate workflows using conversational interfaces. Its architecture is optimized for data governance, access control, and security compliance, ensuring AI actions stay within enterprise-defined boundaries.
Let's take advantage of the excellent Enterprise Search features provided by the AI-powered platforms Glean and Kroolo.
Kroolo Enterprise Search acts as the connective intelligence across projects, tasks, and organizational documents. Instead of being a standalone search tool, it’s deeply embedded in the workspace fabric—meaning every file, chat, or project node is indexed contextually.
Kroolo’s search engine leverages semantic understanding and context correlation, enabling users to query by intent, not just keyword. For example, users can search “show all delayed tasks with pending dependencies” and receive cross-project insights instantly.
By combining vector-based search, AI reasoning, and project metadata, Kroolo ensures teams can retrieve actionable knowledge, not just information—bridging the gap between task execution and organizational intelligence.
Glean Enterprise Search is purpose-engineered for large-scale knowledge retrieval across the enterprise data stack. It builds a semantic knowledge graph by indexing content from connected tools like Slack, Google Workspace, Salesforce, Notion, Jira, and more.
Using embedding-based retrieval (RAG architecture), Glean delivers contextual, permission-aware answers to natural language queries. It doesn’t just find documents—it interprets intent, understands relationships, and invokes AI agents to act (e.g., trigger workflows or summarize data).
Glean’s robust data governance, metadata enrichment, and fine-grained permissioning make it ideal for highly regulated enterprises prioritizing secure, compliant search with high query precision.
Take a look at the feature-by-feature comparison of both platforms.
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Kroolo focuses on contextual enterprise execution. Its capabilities include:
Glean, on the other hand, focuses on global data intelligence. It offers:
When you Kroolo vs Glean on the grounds of Enterprise Search, you will find some of the top-rated
Here comes the simple steps through which you can easily login and utilize the enterprise search console from both of the platforms.
If you’re exploring enterprise search tools beyond Glean, here are five powerful alternatives offering AI-driven insights, collaboration optimization, and data unification capabilities.
Kroolo combines enterprise search with AI automation, enabling teams to find, summarize, and act on information instantly. It unifies multiple business apps, enhances productivity, and integrates AI agents for contextual answers, project insights, and real-time knowledge retrieval.
Coveo delivers AI-powered search and recommendations for enterprises, enhancing knowledge discovery through contextual relevance. It integrates seamlessly across digital platforms, helping teams and customers access personalized results efficiently for e-commerce, service, and workplace search needs.
Elastic offers scalable, open-source search built on the power of Elasticsearch. It provides unified data access, advanced analytics, and customizable search features that adapt to different enterprise environments for maximum flexibility and performance.
Microsoft Search integrates across Office 365 and Microsoft Teams, giving users intuitive access to documents, conversations, and insights. It supports personalized search experiences through Microsoft Graph, improving how enterprises locate and manage vital organizational knowledge.
Lucidworks Fusion leverages AI, natural language understanding, and machine learning to deliver precise, context-aware enterprise search experiences. It empowers teams with intelligent insights, automated relevance tuning, and scalable architecture designed to meet large enterprise demands.
Algolia stands out for its lightning-fast, API-first search capabilities. It offers robust enterprise integrations, advanced filtering, and personalization features, helping businesses deliver real-time, relevant search results across internal applications and customer-facing platforms.
Tags
Project Management
AI