Aidan Gomez
Photo: Gabriel Hutchinson · CC BY-SA 4.0

FigureAsia 35 Under 35 · AI

Aidan Gomez

Age 29 · Researcher-founder · Canada and United Kingdom; enterprise systems intended for multinational and sovereign deployment

Turning Transformer Research Into Enterprise Infrastructure

Age at the edition eligibility date
29
Field
Language-model architecture and enterprise AI infrastructure
Country or region
Canada and United Kingdom; enterprise systems intended for multinational and sovereign deployment
FigureAsia U35 Assessment
94.2 / 100

Career and documented record

One of the original Transformer paper’s authors, Aidan Gomez has spent the ensuing years translating a foundational research contribution into deployable enterprise systems. His work focuses on multilingual models, controlled deployment and the less visible engineering required to place generative AI inside consequential organisations.

Aidan Gomez entered AI history unusually early. As a research intern, he was one of eight authors of the 2017 paper “Attention Is All You Need,” which introduced the Transformer architecture now underlying much of modern generative AI. The achievement was collective, and any account that assigns the architecture to one author would misstate the record. Gomez’s subsequent contribution has been to carry that research lineage into a company focused on enterprise deployment. He co-founded Cohere in 2019 and serves as chief executive. Rather than centring the business on a consumer chatbot, the company develops language models and retrieval systems for organisations that require security, private deployment and multilingual capability. In March 2025, it released Command A, an agent-oriented model that the company said could run on two GPUs, compared with much larger infrastructure requirements for some peer systems. Those comparisons were company evaluations. The company raised US$500 million at a reported US$6.8 billion valuation in August 2025, followed by a further close in September. In May 2026 it acquired Reliant AI, extending into evidence-intensive healthcare and biopharmaceutical research. Gomez’s distinction lies in connecting a seminal scientific contribution with the operational realities of controlled, enterprise-scale AI.

Why Aidan Gomez is on the list

FigureAsia selected Gomez for a rare combination of foundational authorship and sustained institution-building. The Transformer paper’s influence is indisputable, but this assessment does not rest on a single historical paper. The 2025–2026 work shows continued engagement with the practical constraints that determine whether AI can be trusted inside large organisations: inference cost, privacy, retrieval, language coverage and deployment control. The selection recognises Gomez’s scientific authorship and strategic leadership while reserving product and benchmark credit for the wider research and engineering teams.

The 2025–26 record

Verified contribution 01

In March 2025, the company released Command A for enterprise agentic and multilingual workloads, publishing efficiency and performance results as company evaluations.

Verified contribution 02

In August and September 2025, it completed financing rounds that together added US$600 million and valued the company at approximately US$7 billion.

Verified contribution 03

In May 2026, it acquired Reliant AI to extend document-intensive research capabilities into healthcare and biopharmaceutical applications.

The work in its field

The company develops multilingual systems and private deployment options intended for global enterprises and governments. Its sovereign and data-control positioning is internationally relevant, although customer counts and regional revenue are not comprehensively disclosed in audited public filings.

Its multilingual and private-deployment strategy is particularly relevant to Asian markets balancing local-language performance, data residency, institutional control and dependence on foreign model infrastructure.

Assessment breakdown

94.2out of 100

01

Defining contribution

24.55 / 25

A completed piece of work, institution or system that materially changes what the field can do.

02

Demonstrated impact and reach

18.6 / 20

Observable adoption, scientific use, policy consequence or operational reach, with self-reported metrics labelled as such.

03

Personal agency and attribution

13.65 / 15

Evidence that the individual shaped the result, separated from team, employer and investor halo.

04

Technical or institutional originality

14.55 / 15

A new method, product form, research direction, governance mechanism or deployment model.

05

Durability and field-shaping influence

9.8 / 10

The likelihood that the contribution will remain useful beyond a single news cycle or model release.

06

Evidence integrity and responsible practice

8.7 / 10

The quality of the record, the precision of claims and the seriousness with which limitations and harms are addressed.

07

Asia–world relevance

4.35 / 5

A documented connection to Asia, impact on Asian systems, or clear importance to the region’s place in the international field.

Evidence and attribution

Material claims on this page are supported by the edition’s evidence record. FigureAsia tests age, identity, role, result and individual attribution before publication. Public profiles present the reported record; supporting documentation is retained for accuracy review and corrections.

Achievement records
5
Assessment window
2025–26
Editorial status
Included in the 2026 FigureAsia 35 Under 35 edition

Rights and credit

The portrait is published under the rights basis recorded for this edition. Third-party ownership and reuse restrictions remain in force.

Publication status
Published under a documented rights basis
Credit
Gabriel Hutchinson
Licence
CC BY-SA 4.0
Portrait source and credit