Geoffrey Hinton
Professor @ University of Toronto
Toronto, Canada
Geoffrey Hinton is a seed investor at University of Toronto in Toronto focused on Artificial Intelligence and Health Care. Geoffrey Everest Hinton FRS is a British-born Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until2001 setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is now an emeritus distinguished professor. From 2004 until 2013 he was the director of the program on "Neural Computation and Adaptive Perception" which is funded by the Canadian Institute for Advanced Research. Since 2013 he has been working half-time for Google in Mountain View and Toronto.Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. He did postdoctoral work at Sussex University and the University of California San Diego and spent five years as a faculty member in the Computer Science department at Carnegie-Mellon University.
- Total investments:
- 6
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Geoffrey Hinton invests in
Stages Geoffrey Hinton invests in
Countries Geoffrey Hinton invests in
Round sizes
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Round size
- Seed
- $10M–$12M
- Series A
- $40M–$83M
Investment Focus
Industry
- Artificial Intelligence 4 (67%)
- Health Care 1 (17%)
- Generative AI 1 (17%)
- Machine Learning 1 (17%)
- Intelligent Systems 1 (17%)
Stage
- Seed 2 (33%)
- Series A 2 (33%)
- Series B 1 (17%)
- Venture - Series Unknown 1 (17%)
Country
- Canada 3 (50%)
- United States 2 (33%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
World Labs
|
World Labs is an AI startup that can analyze visual data with comprehension akin to a person's, a substantial advancement above existing capacities. | $230M / Venture - Series Unknown / Sep 13, 2024 | |
DatologyAI
|
DatologyAI optimize training efficiency, maximize performance and reduce compute costs with expert curation. | $11.7M / Seed / Feb 22, 2024 | |
Signal 1
|
Signal 1’s AI platform helps hospitals tackle these by integrating AI-driven insights directly into existing workflows, delivering improved patient outcomes, enhanced hospital efficiency and reduced stress for front-line workers. | $10M / Seed / Apr 25, 2022 | |
Cohere
|
Cohere develops artificial intelligence solutions for enterprises, focusing on natural language processing and large language model deployments. The company offers API-based access to models that support tasks such as summarization, search, classification, and content generation. It enables organizations to integrate these models into internalsystems across regulated industries, including finance and healthcare. Cohere provides infrastructure that is cloud-agnostic and can be deployed on-premise or across public clouds. It also supports retrieval-augmented generation and offers tooling designed to align models with enterprise data and compliance needs. In addition to its core technology, | $124.9M / Series B / Feb 15, 2022 | |
|
Cohere
|
Cohere develops artificial intelligence solutions for enterprises, focusing on natural language processing and large language model deployments. The company offers API-based access to models that support tasks such as summarization, search, classification, and content generation. It enables organizations to integrate these models into internalsystems across regulated industries, including finance and healthcare. Cohere provides infrastructure that is cloud-agnostic and can be deployed on-premise or across public clouds. It also supports retrieval-augmented generation and offers tooling designed to align models with enterprise data and compliance needs. In addition to its core technology, | $40M / Series A / Sep 07, 2021 | |
Waabi
|
Waabi operates as a self-driving technology start-up. Waabi is bringing the promise of self-driving closer to commercialization than ever before. | $82.6M / Series A / Jun 08, 2021 |
Co-Investors
About University of Toronto
Established in 1827, the University of Toronto has one of the strongest research and teaching faculties in North America, presenting top students at all levels with an intellectual environment unmatched in depth and breadth on any other Canadian campus. The University of Toronto is committed to being an internationally significant researchuniversity, with undergraduate, graduate and professional programs of excellent quality.The University of Toronto is dedicated to fostering an academic community in which the learning and scholarship of every member may flourish, with vigilant protection for individual human rights, and a resolute commitment to the principles of equal opportunity, equity and justice.Within the unique university context, the most crucial of all human rights are the rights of freedom of speech, academic freedom, and freedom of research. And we affirm that these rights are meaningless unless they entail the right to raise deeply disturbing questions and provocative challenges to the cherished beliefs of society at large and of the university itself.It is this human right to radical, critical teaching and research with which the University has a duty above all to be concerned; for there is no one else, no other institution and no other office, in our modern liberal democracy, which is the custodian of this most precious and vulnerable right of the liberated human spirit.
University of Toronto Contacts
| Name | Phone | Socials | |
|---|---|---|---|
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Geoffrey Hinton
Professor
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Jon French
Director
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Molly S. Shoichet
Professor, Chemical Engineering & Applied Chemistry
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Stewart Aitchison
Professor in Electrical and Computer Eng.
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Theodore J. Witek, Jr
Professor
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FAQ
What does Geoffrey Hinton invest in?
Geoffrey Hinton invests primarily in Artificial Intelligence, Health Care and Generative AI startups, most often at Seed and Series A stage. Most of the 6 investments tracked by Shizune back companies in Canada. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Geoffrey Hinton's check size?
Geoffrey Hinton typically joins rounds of $10M–$12M at Seed and $40M–$83M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Geoffrey Hinton participates in.
How do I contact Geoffrey Hinton?
Public channels for Geoffrey Hinton include LinkedIn and Facebook. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
When did Geoffrey Hinton last invest?
The most recent investment recorded for Geoffrey Hinton closed in Sep 2024. Shizune tracks 6 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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