Releases

PSP Investments led a $500 million round with Cisco, Fujitsu, AMD Ventures, EDC, NVIDIA and Salesforce Ventures participating.

Cohere Labs released the open Aya 23 35B multilingual model spanning 23 languages.

Cohere Labs released the open Aya 23 8B multilingual model spanning 23 languages.

Command R+ became available first through Microsoft Azure alongside Cohere's hosted API.

Cohere introduced Command R+, its higher-capacity enterprise model for advanced RAG, multilingual generation and tools.

Cohere Labs made Command R weights available for research and evaluation.

Cohere released Command R, a 128K-context model optimized for production RAG, citations and tool use.

Accenture and Cohere formed a strategic collaboration to deliver secure generative-AI solutions to enterprise customers.

Cohere added function calling and tool-use capabilities for building grounded enterprise agents.

Cohere Labs' Aya initiative culminated in its first open multilingual model and dataset work spanning 101 languages.

Cohere For AI released Aya 101, an open multilingual instruction-following model covering 101 languages.

Cohere introduced its third-generation embedding models with stronger multilingual retrieval and compression options.

Cohere released third-generation English and multilingual reranking models for enterprise search.

McKinsey and Cohere announced work to help enterprises deploy secure generative-AI solutions.

Oracle selected Cohere models and OCI infrastructure to deliver native generative-AI services across Oracle applications.

Cohere raised $270 million from Inovia, Oracle, NVIDIA, Salesforce and other investors to scale enterprise generative AI.

Cohere established Command as its principal family of enterprise generative language models.

Cohere released Command Light as a lower-latency generation option for enterprise text workloads.

Cohere introduced the Command generation family for enterprise summarization, conversation and text workflows.

Cohere added governed connectors to ground generative applications in enterprise repositories and data systems.

Cohere introduced a conversational Chat API that evolved to support RAG, citations, tools and structured outputs.

Cohere released its second-generation multilingual embedding model for semantic search across more than 100 languages.

Cohere established its Rerank family of cross-encoder relevance models for search pipelines.

Cohere made relevance reranking available through a dedicated API endpoint requiring only a small search-stack integration.

Cohere introduced a multilingual cross-encoder Rerank endpoint for improving keyword and semantic search results.

Cohere raised $125 million in a Series B led by Tiger Global to expand its enterprise language-model platform.

Cohere began offering enterprise model deployment within customer-controlled cloud and on-premises environments.

Cohere introduced its Embed model family for semantic representation and retrieval.

Cohere launched a free educational curriculum covering large language models, embeddings and semantic search.

Cohere established its open-science research initiative, now known as Cohere Labs, to support collaborative machine-learning research.

Cohere's hosted API made semantic text representations available to enterprise developers.

Cohere provided a browser playground for testing its hosted language models and generation settings.

Cohere's initial commercial platform included text classification for enterprise NLP workflows.

Index Ventures led Cohere's $40 million Series A, with Section 32, Radical Ventures and AI researchers participating.

Cohere made its hosted language-model platform available to businesses alongside its Series A financing.

Aidan Gomez, Nick Frosst and Ivan Zhang founded Cohere to build broadly usable natural-language AI, later focusing on enterprise deployment.