Cohere: AI models built for enterprise data
Discover Cohere, generative AI designed for the enterprise
Cohere is an artificial intelligence company that builds enterprise-focused large language models, with a strong emphasis on confidentiality and deployment flexibility.
Where others target consumers, Cohere targets business use cases: document search, internal assistants, multilingual processing. Its models can be deployed in the cloud of your choice, in a private environment, or even on your own infrastructure, a real asset for regulated industries.
Cohere is built around four pillars:
Three complementary model families, and a deployment model that adapts to your constraints.
1. Command: business-oriented text generation
Cohere's generation model family, designed for enterprise tasks.
- Write and summarise professional content
- Build conversational assistants grounded in your data
- Leverage multilingual capabilities for your international teams
- Ground answers in your documents with source citations
2. Embed: embeddings that understand your content
The embedding models turn your text into vectors ready for semantic search.
- Convert documents and queries into vector representations
- Feed your vector database for semantic search
- Process multilingual content with the same models
- Classify and cluster large volumes of text automatically
3. Rerank: search relevance as a service
A Cohere speciality: reordering search results to surface the most relevant ones.
- Improve the relevance of your existing search engine without replacing it
- Refine the results returned by your vector database before passing them to the LLM
- Strengthen answer quality in your RAG applications
- Integrate rerank in a few lines through the API
4. Flexible deployment: cloud, private or on-premises
Cohere's differentiator for companies operating under strict constraints.
- Deploy the models on major public clouds or in a private environment
- Keep sensitive data inside your security perimeter
- Meet the compliance requirements of regulated industries
- Choose your hosting model without changing your application architecture
What about a RAG architecture?
The three model families map precisely onto the RAG chain: Embed to index, Rerank to sort, Command to answer. Combined with a vector database such as Pinecone or Weaviate, they form a coherent stack for leveraging internal knowledge.
Planning an AI project in a controlled environment? turnK benchmarks Cohere against the alternatives and integrates the solution with your data. Take a look at our Data & AI services or contact us: our consultants reply within 48 hours.
Les questions les plus fréquentes
Cohere is an artificial intelligence company that builds enterprise-focused large language models: Command for generation, Embed for embeddings and Rerank for search relevance. It emphasises confidentiality and deployment flexibility.
Companies building AI applications on their own data, especially those with strict confidentiality or compliance requirements: financial services, healthcare, the public sector. Its private deployment options make the difference there.
Text generation with the Command models, multilingual embeddings with Embed, search relevance improvement with Rerank, and flexible deployment options, from public cloud to private environments.
The API is billed on usage, depending on the models and volumes processed, while private or dedicated deployments are covered by tailored enterprise plans. Up-to-date pricing is available on the official Cohere website.
It is one of its strengths: the models can be deployed in a private environment, or even on your own infrastructure, so sensitive data never leaves your perimeter. turnK helps you design an architecture that meets your security and compliance constraints.
