We’re building the future of language AI

Cohere empowers every developer and enterprise to build amazing products and capture true business value with language AI.

We’re driven by cutting-edge research

At Cohere, we believe that the union of research and product will realize a world where technology commands language in a way that’s as compelling and coherent as ourselves. We live at the forefront of ML/AI research to bring the latest advancements in language AI to our platform.

Pioneering the future of language AI for business

Cohere’s cutting-edge large language models are built on Transformer architecture and trained on supercomputers, providing NLP solutions that don’t need expensive ML development. With a world-class team of experts, we're dedicated to helping companies revolutionize their operations and maximize potential in real-world business applications.

We’re a collaborative team of experts

We are ML/AI engineers, thinkers, and champions who are passionate about exploring the potential of language AI to make our world a better place. With diverse experience and perspectives, we work together to bring advancements in language AI to developers everywhere.

Founders

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Aidan Gomez - Co-founder  & CEO

Aidan Gomez

Co-founder & CEO

Nick Frosst - Co-founder

Nick Frosst

Co-founder

Ivan Zhang - Co-founder

Ivan Zhang

Co-founder

Our Investors

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Radical Ventures Logo
Index Ventures Logo
Section 32 Logo
TigerGlobal Logo
Salesforce Ventures Logo
inovia Logo
Oracle Logo
NVDIA Logo
SAP Logo
Mirae Asset Logo
Schroders Logo
DTCP Logo
THOMVEST Logo
Fujitsu Logo
AMD Logo
Cisco Investments Logo
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Magnetar Logo
PSP Logo
SentinelOne Logo

Our Offices

Cohere: Toronto Office

Toronto, CA

Cohere: San Francisco Office

San Francisco, US

Cohere: London Office

London, UK

Cohere: New York Office

New York, US

“Very large language models are now giving computers a much better understanding of human communication. The team at Cohere is building technology that will make this revolution in natural language understanding much more widely available.”

Geoffrey Hinton

2024 Nobel Laureate in Physics & Emeritus Prof Comp Sci, U. Toronto