AI Work Platform Alternatives

Glean Alternatives: Search That Answers vs. Agents That Finish the Work

Compare what they are built for, where they differ, and which one fits the way your company actually works.

Glean

Helps your company find and understand its work.

Libra

There isn't one way to build an AI workplace.

  1. FindFind information.
  2. UnderstandMake sense of the context
  3. CreateProduce the work
  4. ActChange something in a system.
  5. RunOwn a multistep process

The products below overlap, but they are optimised for different parts of this spectrum.

Where each platform is placing its bet.

Hover a platform to isolate it; select it to read that comparison.

Libra vs Glean

DimensionGleanLibra WorkBase
Core IdeaEnterprise search + Work AICompany context + execution
KnowledgeEnterprise search, context, organisational knowledgePersistent company knowledge across Search, Assistants, WorkBase and Agents
AgentsEnterprise agents across connected company contextMulti-step agents scoped with tools, permissions and approvals
WorkflowsAgent and automation workflowsWorkBase as a dedicated company workflow layer
Human controlEnterprise governance and controlsDefined approval points before consequential actions
DeploymentEnterprise cloud platformManaged Cloud + controlled enterprise deployment options
DesktopEnterprise AI surfacesAI directly inside the employee's desktop workflow
The differenceStrong at making company knowledge searchable and actionable.Designed to turn company context into finished work.

Glean is genuinely good at this.

Libra uses the access your organisation gives it. A connection doesn't mean everyone suddenly sees everything.

  • Enterprise search

    Glean's roots are in enterprise search, and that remains one of its clearest strengths.

  • Organisational context

    Glean connects information across enterprise systems and builds context around people, content and work.

  • Enterprise AI

    Glean has expanded beyond search into assistants, agents and broader Work AI capabilities.

Why choose Libra

  • You want AI to finish the job.

    WorkBase is designed around what happens after the answer: creating the email, updating the CRM, preparing the report, routing the ticket, or moving a workflow forward.

  • You want one context layer for people AND AI.

    The same company knowledge can power Search, Assistants, WorkBase and Agents.

  • Ask about what's on your screen. Then tell it what to do.

    Libra Desktop sits on top of the app you are already in, so the same context layer can read what you are looking at and act on it across your stack.

Frequently Asked Questions

  • Yes. Libra and Glean both connect company information and AI across enterprise systems, but they have different emphases. Libra places particular focus on turning company context into work through WorkBase, Assistants and Agents.

  • What happens after the answer. Glean is strongest at making company knowledge searchable and understandable. Libra is built so the same context carries the work forward — drafting the email, updating the record, routing the ticket — with approvals before anything consequential runs.

  • No. An assistant answers; WorkBase finishes the job. The same company context powers Search, Assistants, WorkBase and Agents, so a request can end in a sent email, an updated CRM record or a routed ticket — with approval points you define before anything consequential runs.

  • It depends on what you want AI to do. Dust leads on custom agent building, Claude Cowork and Manus on individual task execution, ChatGPT Enterprise on general-purpose reach, and Microsoft Copilot inside Microsoft 365. Libra is the fit when you want company context and execution in one layer.

Glean isn't the only alternative worth a look.

See it against your own company's work.