Cohere and Fujitsu Announce Strategic Partnership To Provide Japanese Enterprise AI Services

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Our Partners

Cohere offers best-in-class data security, performance, and flexible hosting thanks to our partners.

Product, cloud, and distribution partner

Oracle delivers a comprehensive AI portfolio integrated in its cloud applications on a best-in-class AI infrastructure and with state-of-the-art generative AI innovations.

Cloud and distribution partner

Microsoft and Cohere offer high-performing models optimized for enterprise RAG use cases to Azure customers. Cohere's latest models are now available in the Azure AI model catalog as part of the Models as a Service (Maas) offering.

Strategic consulting collaboration

McKinsey is a global management consulting firm and Cohere’s strategic collaborator. McKinsey and Cohere will use AI to transform client businesses, while prioritizing responsible and secure implementation of this technology.

Cloud and distribution partner

Get complete control over your environment and data privacy, while benefiting from the power of language AI.

Strategic consulting collaboration

Accenture and Cohere will jointly deliver AI business solutions to enterprises, leveraging Cohere's flagship proprietary generative and search technologies (Command, Embed, Rerank) to deliver on Accenture's promise of technology and human ingenuity.

Cloud and distribution partner

Access our powerful natural language processing solution on Google’s flexible and scalable cloud platform.

Strategic partnership

Fujitsu and Cohere partner to develop Japanese AI models for global enterprises with secure and private deployment options.

Vector Database Partners


Cohere and MongoDB partner to unlock the power of data. Developers can access Cohere models through MongoDB’s industry-leading database solutions and programs, enabling them to build and deploy semantic search and RAG applications at enterprise scale.


Elasticsearch has all the tools developers need to build next generation search experiences with generative AI. Use Elastic if you’d like to build with a vector database that can perform full text, vector, and hybrid search with filters, facets, and aggregations. Cohere’s embeddings are available natively through Elastic’s Inference API.


The open-source Weaviate vector search engine stores both objects and vectors. The text2vec-cohere module allows you to use Cohere embeddings directly in the Weaviate vector search engine as a vectorization module.


The Pinecone vector database makes it easy to build high-performance vector search applications. Use Cohere to generate language embeddings, then store them in Pinecone and use them for semantic search.


Qdrant is an open-source vector search engine. When used with Cohere, you’ll gain a comprehensive solution for specific text analysis use cases.

Community & Research Partners

Vector Institute

Vector Institute


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