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Industries
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series D
Total Funding
$940M
Headquarters
Toronto, Canada
Founded
2019
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve content generation, summarization, and search functionalities. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can perform various tasks such as text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions, and its multilingual support allows for effective use in international contexts.
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Total Funding
$940M
Above
Industry Average
Funded Over
5 Rounds
Industry standards
Ottawa is investing $240 million in Cohere's $725 million project to acquire AI compute resources at a new Canadian data center set to open this year.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Canadian AI startup Cohere — cofounded by one of the authors of the original transformer paper that kickstarted the large language model (LLM) revolution back in 2017 — today unveiled Command A, its latest generative AI model designed for enterprise applications.As the successor to Command-R, which debuted in March 2024, and Command R+ following it, Command A builds on Cohere’s focus on retrieval-augmented generation (RAG), external tool use and enterprise AI efficiency — especially with regards to compute and the speed at which it serves up answers.That’s going to make it an attractive option for enterprises looking to gain an AI advantage without breaking the bank, and for applications where prompt responses are needed — such as finance, health, medicine, science and law.With faster speeds, lower hardware requirements and expanded multilingual capabilities, Command A positions itself as a strong alternative to models such as GPT-4o and DeepSeek-V3 — classic LLMs, not the new reasoning models that have taken the AI industry by storm lately.Unlike its predecessor, which supported a context length of 128,000 tokens (referencing the amount of information the LLM can handle in one input/output exchange, about equivalent to a 300-page novel), Command A doubles the context length to 256,000 tokens (equivalent to 600 pages of text) while improving overall efficiency and enterprise readiness.It also comes on the heels Cohere for AI — the non-profit subsidiary of the company — releasing an open-source (for research only) multilingual vision model called Aya Vision earlier this month.A step up from Command-RWhen Command-R launched in early 2024, it introduced key innovations like optimized RAG performance, better knowledge retrieval and lower-cost AI deployments.It gained traction with enterprises, integrating into business solutions from companies like Oracle, Notion, Scale AI, Accenture and McKinsey, though a November 2024 report from Menlo Ventures surveying enterprise adoption put Cohere’s market share among enterprises at a slim 3%, far below OpenAI (34%), Anthropic (24%), and even small startups like Mistral (5%).Now, in a bid to become a bigger enterprise draw, Command A pushes these capabilities even further. According to Cohere, it:. Matches or outperforms OpenAI’s GPT-4o and DeepSeek-V3 in business, STEM and coding tasksOperates on just two GPUs (A100 or H100), a major efficiency improvement compared to models that require up to 32 GPUsAchieves faster token generation, producing 156 tokens per second — 1.75x faster than GPT-4o and 2.4x faster than DeepSeek-V3Reduces latency, with a 6,500ms time-to-first-token, compared to 7,460ms for GPT-4o and 14,740ms for DeepSeek-V3Strengthens multilingual AI capabilities, with improved Arabic dialect matching and expanded support for 23 global languages
New enterprise AI model outperforms DeepSeek, ChatGPT on several enterprise-specific tasks, company says
Meta is facing a copyright infringement lawsuit in France brought by trade associations representing publishers and authors, who accuse the company of training its generative artificial intelligence model on their books without permission. Publishers’ trade association SNE, authors’ association SGDL and writers’ union SNAC brought the suit in a Paris court focused on intellectual property, Bloomberg reported Wednesday (March 12). SNE President Vincent Montagne told a press conference Wednesday that the group has also told the European Commission that Meta’s actions violated European Union rules, according to the report
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Canadian AI startup Cohere launched in 2019 specifically targeting the enterprise, but independent research has shown it has so far struggled to gain much of a market share among third-party developers compared to rival proprietary U.S. model providers such as OpenAI and Anthropic, not to mention the rise of Chinese open-source competitor DeepSeek.Yet Cohere continues to bolster its offerings: Today, its non-profit research division Cohere for AI announced the release of its first vision model, Aya Vision, a new open-weight multimodal AI model that integrates language and vision capabilities and boasts the differentiator of supporting inputs in 23 different languages spoken by what Cohere says in an official blog post is “half the world’s population,” making it appeal to a wide global audience.Aya Vision is designed to enhance AI’s ability to interpret images, generate text, and translate visual content into natural language, making multilingual AI more accessible and effective. This would be especially helpful for enterprises and organizations operating in multiple markets around the world with different language preferences.It’s available now on Cohere’s website and on AI code communities Hugging Face and Kaggle under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, allowing researchers and developers to freely use, modify and share the model for non-commercial purposes as long as proper attribution is given.In addition, Aya Vision is available through WhatsApp, allowing users to interact with the model directly in a familiar environment.This limits its use for enterprises and as an engine for paid apps or moneymaking workflows, unfortunately. It comes in 8-billion and 32-billion parameter versions (parameters refer to the number of internal settings in an AI model, including its weights and biases, with more usually denoting a more powerful and performant model).Supports 23 languages and countingEven though leading AI models from rivals can understand text across multiple languages, extending this capability to vision-based tasks is a challenge.But Aya Vision overcomes this by allowing users to generate image captions, answer visual questions, translate images, and perform text-based language tasks in a diverse set of languages:1
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Industries
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series D
Total Funding
$940M
Headquarters
Toronto, Canada
Founded
2019
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