Cohere is an enterprise AI company focused on building large language models for business use — specifically designed for deployment in private cloud environments where data never leaves the organisation's infrastructure. Used by Oracle, Salesforce and Fujitsu, Cohere serves regulated industries including finance, healthcare and government where data sovereignty is non-negotiable.
Cohere's flagship products are Command (for text generation and summarisation), Embed (for semantic search and retrieval) and Rerank (for improving search result relevance). Together these power enterprise use cases like internal knowledge search, document summarisation, customer support automation and content generation — all deployable on AWS, Azure, Google Cloud or on-premise.
Cohere's RAG (Retrieval-Augmented Generation) capabilities are particularly strong — connecting its Command model to enterprise knowledge bases so the AI answers questions based on your actual company documents rather than general training data. This makes it highly accurate for internal use cases where generic AI knowledge isn't sufficient.
Key Features
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Command Model
Powerful text generation and summarisation — enterprise-grade quality for business content tasks.
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Embed
Semantic search and text embedding — power intelligent search across enterprise knowledge bases.
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Rerank
Improve search result relevance — rank retrieved documents by relevance to the query.
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Private Deployment
Deploy in your own AWS, Azure or GCP environment — data never leaves your infrastructure.
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RAG Support
Connect to your own documents and knowledge bases — AI answers based on your actual data.
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Enterprise API
Developer API with fine-tuning, custom models and enterprise SLAs for production deployments.
Pros & Cons
What we love
Private cloud deployment — data stays in your infrastructure
Strong RAG for enterprise knowledge base search
Deployable on AWS, Azure and Google Cloud
Excellent for regulated industries
Fine-tuning on custom datasets available
Watch out for
Less suitable for consumer or SMB use cases
Pricing requires enterprise negotiation
Less user-friendly than consumer AI tools
Smaller general knowledge base than GPT-4
Frequently Asked Questions
Cohere is used by enterprises to build AI-powered search, document summarisation and content generation into their own products and workflows — with data staying in their private cloud. Common use cases include internal knowledge base search, customer support automation, contract analysis, report generation and semantic document classification.
For enterprises with strict data privacy requirements, Cohere wins — its private cloud deployment means data never leaves your infrastructure, unlike OpenAI's API. For capability and model quality on general tasks, OpenAI's GPT-4 leads. Enterprises in regulated industries (finance, healthcare, government) typically choose Cohere; others often use OpenAI's enterprise tier with data processing agreements.
Cohere offers a free trial API with rate-limited access to all models — sufficient for developers to evaluate and build proofs of concept. Production use requires a paid plan; pricing is usage-based and enterprise contracts are negotiated directly. The free trial doesn't expire but has strict rate limits.
The best AI platform for enterprises that need private, secure AI deployment — Cohere's models run in your own cloud infrastructure, making it the top choice for regulated industries and data-sensitive organisations.
Quick Facts
Best forEnterprise developers, regulated industries
PricingFree trial / Custom pricing
Free planFree trial available
Made byCohere
Try Cohere
Cohere builds AI models for enterprise search, summarisation and text generation — designed for data privacy, security and deployment in your own infrastructure.