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Cohere
Cohere is a Canadian AI company that builds language models, search tools, and agents for businesses and institutions, not for the general public.
In plain terms
Cohere is among the companies developing large language models, just like OpenAI or Anthropic. The difference is that it does not compete for everyday users with a popular chat application, but instead delivers services to companies, banks, and public institutions.
It is like a large-scale kitchen supplier. You rarely encounter its name, but many places cook with its ingredients. If a company's internal search engine or customer service assistant understands your question surprisingly well, a Cohere model might be working in the background.
The company's main promise is data security. Its models can run in the client's own cloud or on their own servers, so sensitive data does not leave the organization. This is particularly important for strictly regulated sectors, such as finance, healthcare, and public administration.
How it works
- Cohere trains its own language models. The Command family writes text, summarizes, and answers questions.
- It offers separate models for search. Embed converts text meanings into number sequences, while Rerank orders results based on how well they fit the query.
- The client accesses these via a programming interface (API) or through one of the major cloud providers, but can also install them into their own closed system.
- The client can connect the models to their own documents and databases. Thus, responses are built on internal knowledge, and the model indicates which source it used.
- On the platform called North, you can also build agents that perform multi-step workflows within the client's systems.
An everyday example
You call your bank, and the customer service representative finds the rule that applies to you within seconds in an internal manual of thousands of pages. Such a search tool, which understands the meaning of the question, could be powered by a Cohere model. All you notice is that you got a quick answer.
Who is affected
A common misconception
Limits and risks
- As a private individual, you get little use from it, as its products are made for corporate clients and developers.
- Its models can also make mistakes and invent non-existent facts, so important answers must be verified.
- Smaller than its largest American competitors, it has less money and computing capacity for development.
- It is worth testing Hungarian-language performance on your own texts before integrating a system.
Similar, but not the same
- OpenAI – OpenAI reaches the general public with ChatGPT, while Cohere works almost exclusively for businesses and institutions.
- Coherence (koherencia) – Coherence refers to the text being connected and logical, whereas Cohere is a company name.
- Mistral AI – Mistral is a French company that also targets corporate clients but places greater emphasis on releasing open models than the Canadian Cohere.
Related concepts
AI development company, large language model, generative AI
Command, Embed, Rerank, North
A brief history
Cohere was founded in Toronto in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst. Gomez was a co-author of the 2017 paper "Attention Is All You Need," which introduced the transformer architecture that underpins today's language models.
Where things stand
At the end of 2026, Cohere is a well-known player in the enterprise AI market, and its models are also available from the major cloud providers. Its emphasis has shifted toward solutions that can run in closed environments and toward corporate agents.
In the news
- Cohere says AI is needed to produce more gas to power AI, as oil majors become top AI customersNov 4, 2026 · Ipar
- Cohere releases its first coding model, targeting developersSep 8, 2026 · Code
Also known as
Cohere · Cohere Inc. · Cohere AI · Cohere Command · Cohere North · Cohere Labs · Cohere-modell
Sources
This entry was machine-edited and has undergone machine expert review; the “In the news” section updates automatically from Agent Age stories.