Cohere

Cohere is an enterprise-focused artificial intelligence company founded in 2019 in Toronto, Canada by Aidan Gomez, Nick Frosst, and Ivan Zhang. The company develops foundational AI models and enterprise AI solutions designed to help organizations retrieve knowledge, automate workflows, build AI agents, generate content, and work with information securely. Cohere’s current product ecosystem includes generative models, retrieval and search technologies, multilingual models, speech-to-text, and enterprise AI applications.

Cohere’s model portfolio is built around several specialized product families. Command provides generative and conversational AI for enterprise applications, including tool use, retrieval-augmented generation (RAG), agents, reasoning, and multilingual tasks. Embed converts text and images into representations that can be used for semantic search, classification, clustering, and RAG. Rerank improves search quality by ordering documents according to their semantic relevance to a query. Cohere also provides Transcribe for speech recognition and the Aya family for multilingual AI.

A major focus of Cohere is enterprise search and knowledge retrieval. Its Embed and Rerank models can be combined with existing search infrastructure to help organizations locate relevant information within large collections of documents and business data. Rerank can take search results and reorder them according to semantic relevance, while Embed can create representations for documents and queries that support semantic search and retrieval systems. These technologies are also important components of retrieval-augmented generation applications.

Cohere also develops AI agents for enterprise workflows. Its Command models support tool use and agentic applications, allowing AI systems to interact with external tools and information sources to complete multi-step tasks. Cohere’s North platform takes this further by providing a turnkey AI workspace where organizations can build custom agents, automate complex workflows, generate documents and reports, and obtain insights grounded in enterprise data.

North is Cohere’s enterprise AI workspace, launched in 2025. It combines generative AI, retrieval, agents, and enterprise integrations into a workplace environment. Cohere describes North as a platform for automating routine work, accelerating complex workflows, and surfacing information from organizational data. It is designed for enterprise deployment and can operate in secure cloud or on-premises environments.

Cohere places particular emphasis on security, privacy, and deployment flexibility. Organizations can access Cohere models through its public cloud platform, use dedicated Model Vault deployments, deploy privately in the cloud or on-premises, or access models through cloud providers. This approach is aimed at organizations that need greater control over sensitive business information and AI infrastructure.

For developers, Cohere provides a platform and API for integrating its models into applications. Developers can access Command, Embed, Rerank, Aya, and Transcribe models through APIs and SDKs. Official SDKs are available for Python, TypeScript, Java, and Go, while developers can also use Cohere’s Playground to experiment with models before integrating them into applications.

Cohere supports deployment through major cloud platforms, including Amazon Bedrock, Amazon SageMaker, Microsoft Azure AI Foundry, and Oracle OCI Generative AI Service. Its models can therefore be accessed through infrastructure that enterprises may already use, rather than requiring organizations to build their entire AI infrastructure around Cohere’s own platform.

Multilingual AI is another important part of Cohere’s offering. Its Command A models support 23 languages, including English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Chinese, Arabic, Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, and Persian. Cohere’s Rerank models support more than 100 languages, while its newer Tiny Aya models extend multilingual coverage to 70 languages.

Cohere also provides specialized translation and speech capabilities. Command A Translate is designed specifically for translation across 23 languages, while Transcribe provides speech-to-text capabilities and currently supports 14 languages. These models can be incorporated into broader generative AI and retrieval workflows.

Cohere’s pricing is primarily designed around API and enterprise usage rather than a conventional consumer chatbot subscription. Generative models such as Command are priced according to input and output token usage, while Rerank is priced based on searches and Embed according to the number of tokens processed. Cohere also provides trial API keys, while enterprise customers can choose private deployments and dedicated infrastructure.

Overall, Cohere is best positioned as an enterprise AI platform focused on generative AI, retrieval, search, agents, multilingual AI, and secure deployment. Its strongest differentiators are its combination of Command models for generation and agents, Embed and Rerank for enterprise search and RAG, North for workplace AI, multilingual Aya models, and deployment options ranging from Cohere’s cloud platform to private and on-premises environments.