Cohere

Cohere builds enterprise language models focused on retrieval, ranking and secure deployment. It is the fit for companies that need AI search and grounded answers over their own documents, with the option to run models inside their own cloud.

Key features

• Command models for grounded generation with citations.
• Embed and Rerank models that noticeably improve search relevance.
• North platform for building internal AI assistants over company data.
• Private deployment on AWS, Azure, OCI or on-premise infrastructure.
• Multilingual support across more than 100 languages.

Who it is for

• Enterprises building internal knowledge assistants over policy and product docs.
• Product teams upgrading a keyword search box into semantic AI search.
• Regulated organisations that cannot send data to a public API.
• Developers who need reliable embeddings and reranking, not just chat.

Pricing

Cohere offers free trial API keys with rate limits for evaluation, then production pricing per million tokens for generation, embedding and reranking. Private and on-premise deployments are quoted per contract.

Why people choose it

Cohere concentrates on the part of enterprise AI that usually breaks: retrieval quality. Its Rerank model can be dropped in front of an existing search stack and lift the relevance of results without rebuilding the index, and its grounded generation returns citations so answers can be verified against source documents. That combination is what turns an internal chatbot from a demo into something staff will actually rely on. The deployment story matters just as much for large buyers, since running the same models inside a private cloud tenancy satisfies data-residency requirements that rule out most consumer AI services.