Key Takeaways
- Cohere is an enterprise AI company building secure, customizable language models.
- Its Command generative models plus Embed and Rerank power search and agentic apps.
- It emphasizes data sovereignty with private, VPC, and on-premises deployment options.
- Excellent for enterprises needing control and security; less of a consumer chatbot.
Cohere is a leading enterprise AI company focused on giving businesses powerful language models they can run securely and privately. Rather than a consumer chatbot, its pitch is control: “your data, your infrastructure.” It builds generative and retrieval models, plus workplace tools, designed to slot into enterprise environments where security and customization matter most.
What is Cohere?
Cohere develops foundation models and AI products aimed squarely at enterprise use. Its generative Command models handle agentic, multilingual, and multimodal tasks, while its retrieval models — Embed for multimodal search and Rerank for improving relevance — are widely used to build accurate search and retrieval-augmented generation (RAG) systems. On top of the models sit workplace products: North, an enterprise AI platform for productivity, and Compass for intelligent search across business data, alongside a speech model and an agentic coding model. What distinguishes Cohere is deployment flexibility and data sovereignty: models can run through its managed inference, in a customer’s virtual private cloud, or fully on-premises, so sensitive data never has to leave an organization’s control. It counts major enterprises like Oracle, Dell, and RBC among its clients.
What it does well
- Enterprise focus: models and tooling built for business needs, not just chat.
- Retrieval strength: Embed and Rerank are go-to tools for search and RAG accuracy.
- Data sovereignty: private, VPC, and on-premises deployment keep data in your control.
- Multilingual and agentic: Command models handle complex, multilingual workloads.
Who it is for
Cohere is for enterprises and developers building AI features that demand security, customization, and control — particularly in regulated or data-sensitive industries like finance and healthcare. Its retrieval models are a favorite for teams building search and RAG systems. It is not aimed at casual users wanting a consumer assistant; its value is in giving organizations production-grade models they can deploy on their own terms.
Things to keep in mind
- It is an enterprise and developer platform, not a consumer chatbot app.
- Getting the most from it assumes engineering resources to integrate the models.
- Private and on-premises deployments involve enterprise engagements and custom pricing.
Our verdict
Cohere has carved out a strong position as the enterprise-first AI model provider, and its emphasis on data sovereignty — private and on-premises deployment — is a genuine differentiator for organizations that cannot send data to a public API. Its Embed and Rerank models are among the best tools for building accurate search and RAG. It is not for casual users, and it needs engineering to deploy, but for enterprises that want powerful, controllable language models on their own infrastructure, Cohere is a top choice.
Frequently asked questions
What is Cohere?
Cohere is an enterprise AI company that builds secure, customizable language models — including Command generative models and Embed and Rerank retrieval models — for businesses.
What is Cohere best known for?
It is especially known for its retrieval models, Embed and Rerank, which are widely used to build accurate search and retrieval-augmented generation (RAG) systems.
Can Cohere run privately?
Yes. Cohere emphasizes data sovereignty, offering private, virtual-private-cloud, and on-premises deployments so sensitive data stays under an organization’s control.
How is Cohere priced?
Cohere’s models are priced per token via API, with enterprise, private, and on-premises deployments quoted separately.
