About Cohere
Cohere was founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, with Gomez being one of the co-authors of the original "Attention Is All You Need" paper that introduced the transformer architecture underlying nearly all modern large language models. Unlike consumer-facing AI labs such as OpenAI or Anthropic that built widely known chatbot products, Cohere has positioned itself primarily as an enterprise-focused AI company, building large language models optimized for business use cases such as retrieval-augmented generation, search, summarization, and workflow automation, and offering deployment flexibility, including private cloud and on-premises deployment options, that appeal particularly to large enterprises and government customers with strict data security, privacy, and sovereignty requirements that rule out sending sensitive data to a shared, externally hosted API.
Cohere's model lineup, including its Command series of language models, has emphasized strong multilingual performance and retrieval-augmented generation capabilities specifically tuned for grounding model outputs in a company's own proprietary documents and data, an important capability for enterprise customers wanting AI systems that can accurately answer questions using internal company knowledge rather than only general web-trained knowledge. The company has built partnerships with major cloud providers and systems integrators to reach enterprise customers, and has positioned its emphasis on data privacy, deployment flexibility, and enterprise-specific tuning as key differentiators relative to larger, more consumer-oriented AI labs. Cohere has raised very substantial venture funding from investors including Nvidia, Salesforce Ventures, Oracle, and Thomvest Ventures, reaching a valuation exceeding $6 billion, operating in an intensely competitive and capital-intensive foundation model market that includes far larger labs like OpenAI, Anthropic, Google DeepMind, and Meta, as well as a growing number of open-source model alternatives.
