enterprises will prefer a neutral layer

This positioning turns Glean into the control plane for enterprise AI, not just another assistant. If a company connects Glean to Slack, Jira, Confluence, Zendesk, Notion, and its identity system once, it can swap the model underneath as OpenAI, Anthropic, Google, or others improve, without rebuilding retrieval, permissions, and citations each time. That makes the sticky part of the product the data access and governance layer, not the model itself.

• The practical buyer logic is simple. Most enterprises do not live entirely inside Microsoft 365 or Google Workspace, so a neutral layer wins when employees need one answer that pulls from many systems with the right permissions preserved. That is where Glean differentiates against bundled suite copilots.
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• This also explains why horizontal tools and vertical tools can coexist. Glean is often the broad retrieval layer across the company, while products like Hebbia sit on top for deeper finance and legal workflows, where teams need multi step reasoning, auditability, and output generation over the documents Glean helps surface.
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• The competitive tradeoff is clear. Model companies like Cohere can pair their own models with enterprise agents, but neutral platforms benefit every time models commoditize, because the hard work for the customer remains connector coverage, identity mapping, permissions, and workflow orchestration across systems.
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As enterprise AI matures, value will keep shifting upward from the raw model into the layer that decides which model to use, which data it can see, and how results fit into daily work. That favors Glean if it keeps becoming the system of record for enterprise retrieval, security, and agent orchestration across a mixed software stack.