Enterprise AI prioritizes internal grounding
Product manager at Cohere on enterprise AI search infrastructure and deep research agents
This reveals the main bottleneck in enterprise AI is still trust in a company’s own data, not demand for more exotic external sources. Cohere is selling North into large regulated enterprises as a private, secure assistant, and the product work is centered on making internal documents retrievable, understandable, and usable in multi step workflows. In that setting, customers often do not ask for domain streams because they are still trying to get SharePoint, file drives, and internal knowledge working reliably first.
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Cohere’s product manager frames internal grounding as the primary use case, and says customer priorities lie there even though domain specific streams are on the roadmap. The practical reason is that each enterprise stores information in messy, customized systems, so getting answers from internal documents is hard implementation work before it is a feature add.
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This matches Cohere’s broader market shift. It started as a model API company, then moved up the stack into North to compete more directly with Glean and Writer, especially for regulated customers that want private deployments. Better internal retrieval is therefore not a side feature, it is the product wedge that wins enterprise contracts.
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The split with Hebbia helps explain the demand pattern. Glean is used for broad internal search across the company, while Hebbia is used when teams need deeper reasoning and output generation on high value tasks like diligence or contract work. External domain streams matter most after a company already trusts the system to navigate its own internal corpus.
The next step is a stack that starts with clean internal grounding and then layers in domain specific external sources only where the workflow demands it, like filings for finance or journals for healthcare. As enterprise buyers get more fluent in what AI systems can do, demand should shift from basic internal search toward hybrid products that combine company knowledge with specialized outside data.