Aidan Gomez is a Canadian computer scientist, a co-author of "Attention Is All You Need" (2017), and the co-founder and chief executive of Cohere, an enterprise-focused large language model company.
Transformer paper
Gomez contributed to the 2017 Google Brain paper that introduced the Transformer (architecture) architecture while he was an undergraduate researcher, making him one of the youngest authors of a paper that would go on to underpin nearly every major large language model released since, including BERT and the GPT series. He later pursued graduate research in machine learning at the University of Oxford, continuing to publish on model efficiency and reversible neural network architectures, before leaving academia to build Cohere full time.
Founding Cohere
In 2019, Gomez co-founded Cohere alongside fellow transformer co-author Nick Frosst and Ivan Zhang, positioning the Toronto-based company as an enterprise-focused alternative to consumer-facing labs such as OpenAI and Anthropic. Cohere's strategy emphasized selling large language model access and customization directly to businesses and governments rather than building consumer chat products, and it developed the multilingual Aya research initiative and its own family of production models. Gomez has argued publicly that enterprise customers value reliability, data privacy, and multilingual support over the general-purpose chat features prioritized by ChatGPT and similar consumer products.
Leadership and positioning
As CEO, Gomez has positioned Cohere as a Canadian and increasingly international champion in a market otherwise dominated by well-funded United States labs, drawing government and institutional backing, including investment tied to Canadian public funds. Cohere has generally pursued a lower public profile than OpenAI or Anthropic, focusing on enterprise deployments, retrieval-augmented applications, and government contracts rather than headline-grabbing consumer releases.
Influence
Gomez is one of several transformer paper co-authors, alongside Ashish Vaswani and Noam Shazeer, whose post-Google careers took them into competing frontier AI companies, illustrating how a single 2017 research paper produced by a small team ended up seeding a substantial share of the leadership of the AI industry that followed. His path from an undergraduate research contribution to running a multibillion-dollar AI company is frequently cited as one of the more striking career trajectories to come out of the transformer era.