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Cohere builds large language models and sells the software tools that let companies use AI on their own private data.
Cohere is an AI company that builds large language models — the kind of software that reads and writes text, answers questions, and digs through documents. But unlike the consumer chatbots most people know, Cohere doesn't really sell to you and me. It sells to businesses, and increasingly to governments and big software makers, who want to put a smart assistant inside their own products and workflows. The pitch is simple: your company's data is valuable and private, and Cohere will help you build AI on top of it without shopping your secrets to a giant cloud provider.
Its core products are models and the tools around them. Enterprises use its language models to search through huge piles of internal documents, summarize them, and build chatbots that answer staff questions. Developers use its platform to plug those models into their own apps, and Cohere's models are also available through the big cloud marketplaces, so customers can rent them without building the underlying hardware. The customers are banks, insurers, manufacturers, and other large organizations that care a lot about where their data sits — plus governments, a growing and deliberate target for the company. Cohere was founded in Toronto in 2019 by Aidan Gomez and Nick Frosst, two former researchers connected to Google's brain trust, along with Ivan Zhang. The most interesting thing about its history is the timing: it was founded before the current AI boom, betting early that big companies would need private, controllable models rather than one-size-fits-all chatbots. That bet has paid off in funding — the company has raised hundreds of millions of dollars from investors including Nvidia, Oracle, and Salesforce, which both invest in Cohere and have been partners in pushing its models to their customers. The business is genuinely competitive and genuinely risky. It competes against much larger players — Microsoft-backed OpenAI, Alphabet and Amazon in the cloud, and other model builders — all of which can spend far more on computing power and talent. Cohere's edge is focus: it targets enterprises and regulated industries rather than consumers, emphasizes data privacy and deployment flexibility, and offers models in multiple languages for global customers. It is one of the few serious AI model companies headquartered outside the United States, and Canadian backing has helped it serve public-sector customers.
As a private startup, Cohere's financials are not published, so we can't see exactly how much money it makes. What we can see is the strategy: it uses investor cash and computing partnerships to train bigger and better models, then sells access to them to companies that need control and privacy. The simple version of the whole bet is this: the future of AI isn't just one giant chatbot for everyone, but thousands of private, specialized models quietly working inside offices, hospitals, and government buildings. Cohere is selling the picks and shovels for that world.
Saved answer · last researched 4 Nov 2026