Cohere builds large language models and enterprise AI products designed specifically for businesses and governments — not consumers. Its core products include the Command family of generative models, Embed and Rerank retrieval models for search, and North, a security-first agentic AI workspace that lets employees interact with company data and automate workflows. Cohere's key differentiator is deployment flexibility: its models run on any public cloud, in a customer's private cloud, or fully on-premise — making it one of the few enterprise AI vendors that can satisfy strict data-sovereignty and air-gap requirements. Customers include Oracle, Dell, RBC, Bell, Fujitsu, LG CNS, and SAP. Revenue comes from API access, hosted model licensing, and enterprise platform contracts across financial services, energy, healthcare, government, and defence verticals. Founded in 2019 by Aidan Gomez (a co-author of the original Transformer paper), Ivan Zhang, and Nick Frosst — all out of Google and the University of Toronto AI ecosystem.