Cohere

Cohere proposed RCP-nDCG@10 as a retrieval-quality measure designed to align more closely with human relevance judgments.

Cohere launched its fifth-generation frontier embedding models in Pro and Fast tiers.

Cohere opened a managed Compass Cloud private beta for retrieval-heavy and agentic applications.

Cohere and OpenText announced a partnership for secure agentic AI in government and regulated industries.

The companies signed an agreement to form a transatlantic sovereign-AI provider operating globally as Cohere, with headquarters and R&D in Canada and Germany; closing remained pending.

Cohere released a compact sovereign open-weight machine-translation model optimized for speed and cost.

Cohere established Parse as its document-intelligence model family for enterprise files.

Cohere introduced Parse for enterprise document intelligence across complex multimodal files.

Cohere signed the EU Code of Practice on Transparency of AI-Generated Content.

Cohere launched governed workflow orchestration in North with branching, approvals, schedules and model routing.

Cohere Labs documented the Tiny Aya family and community applications for compact open multilingual AI.

Cohere released an open speech-recognition model tailored to Arabic languages and dialects.

Cohere established its compact North Small family with North Mini Code for developer workflows.

Cohere launched its first compact model built specifically for developer and coding workflows.

Cohere announced agreements to advance sovereign AI deployments with Indra Group and Multiverse Computing.

Cohere released Command A+, a 218B-total/25B-active MoE model for multilingual, multimodal reasoning and agentic work.

Cohere acquired biopharma AI specialist Reliant AI, adding its research team, biomedical datasets and domain technology to North for Pharma.

Cohere and Aleph Alpha announced plans to combine into a transatlantic sovereign-AI company operating as Cohere; completion remained subject to approvals.

Cohere entered speech recognition with the open Transcribe model family.

Cohere introduced an open-source speech-recognition model for accurate multilingual transcription.

Cohere and NVIDIA expanded technical work on efficient, privately deployable sovereign AI.

Cohere joined Aston Martin Aramco as official generative-AI partner to support engineering and business innovation.

Cohere launched Model Vault for dedicated, fully managed and isolated model inference.

Cohere launched Rerank 4, its fourth-generation retrieval model family in Pro and Fast tiers.

Cohere and SAP expanded collaboration to offer sovereign AI solutions for European customers.

Cohere formalized a tiered program for cloud, consulting and strategic partners deploying enterprise AI.

A second close added $100 million from BDC and Nexxus Capital Management, bringing Cohere's valuation to approximately $7 billion.

Cohere expanded work with AMD across model deployment, compute infrastructure and internal use of North.

Cohere released its first dedicated machine-translation model, supporting 23 languages and private deployments.

Cohere launched a controllable hybrid reasoning model for complex enterprise agents across 23 languages.

Cohere announced former Uber executive Francois Chadwick as chief financial officer alongside its funding round.

Radical Ventures and Inovia Capital co-led a $500 million financing with AMD, NVIDIA, PSP, Salesforce Ventures and HOOPP participating.

Cohere launched North broadly as its secure, customizable agentic AI platform for enterprises and governments.

Cohere released its first commercial multimodal Command model for enterprise document, chart, OCR and scene understanding.

Cohere and Bell partnered to deploy sovereign enterprise AI for telecommunications workloads in Canada.

Cohere announced work with the UK government to support secure AI adoption and public-sector productivity.

Cohere and the Government of Canada agreed to explore secure generative AI for public-sector operations.

Former Meta FAIR head Joelle Pineau joined Cohere as Chief AI Officer to lead research and model development.

Cohere introduced Embed 4 for multimodal retrieval across text, images and complex enterprise documents in more than 100 languages.

Cohere released the 111B-parameter Command A, optimized for agents, RAG, tool use and multilingual enterprise workloads.

Cohere made Command A weights available for research and private deployment.

Cohere and RBC began co-developing North for Banking for secure, regulated financial-services work.

Cohere introduced Compass as North's multimodal search and discovery backbone for governed enterprise data.

Cohere opened early access to North, an all-in-one secure AI workspace combining models, enterprise search and agents.

The Government of Canada announced up to C$240 million to support Cohere's Canadian AI compute capacity project.

Cohere introduced Rerank 3.5 with stronger reasoning and multilingual retrieval over complex enterprise data.

Cohere Labs released Aya Expanse 32B as the larger Aya Expanse multilingual model.

Cohere Labs released Aya Expanse 8B with improved multilingual generation across 23 languages.

The August Command R+ release delivered roughly 50% higher throughput and 25% lower latency with the same hardware footprint.

Cohere updated Command R with improved tool decisions, instruction following, structured-data analysis and robustness.

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.