North Private Deployment for Regulated Enterprises

Private deployment is the wedge that moves North from a generic AI assistant into infrastructure for regulated enterprises. In practice, that means North can sit inside the customer environment, connect to internal systems, and use external tools with customer owned credentials, which fits banks, healthcare groups, governments, and other large companies that cannot send sensitive data through a shared SaaS stack. It also lets Cohere sell multi year software contracts instead of only metered API usage.

• This is not only a security feature, it changes how the product is bought and operated. In the interview, North customers use their own Tavily API keys because the deployment lives in their environment. That is a concrete sign that data flow, billing, and control stay with the customer, not with a shared vendor cloud.
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• The strategy lines up with Cohere's broader business mix. About 85% of revenue comes from private cloud or on prem deployments for customers in regulated industries, and those deployments are tied to software licensing with SaaS like gross margins. North extends that same deployment model up from models into the end user application layer.
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• Compared with Glean, the difference is less about search quality alone and more about who can satisfy the toughest buyer. Glean built a large business indexing and summarizing documents across SaaS apps, while Cohere is using private deployment and custom implementation as a way to win enterprises where security review, data residency, and system level control decide the deal.
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Going forward, enterprise AI assistants will split into shared cloud tools for broad deployment and privately deployed systems for the largest, most regulated accounts. North is positioned on the second path. If Cohere keeps pairing secure deployment with strong internal data grounding and custom models, it can keep moving upmarket into the highest trust segment of enterprise AI.