Bringing together the best in entrepreneurship, technology and academia to create an AI-First World and elevate collective wisdom.

Element AI is an artificial intelligence solutions provider that gives organizations unparalleled access to cutting-edge technology.

Co-founded in 2016 by established entrepreneur Jean-François Gagné and leading AI researcher Yoshua Bengio in the deep learning hub of Montreal, we’re pioneering an AI-First world by turning the world’s most important AI research into transformative business applications.

As authorities in artificial intelligence with deep domain expertise and access to cutting-edge technology, our products and services address all the AI needs of an organization — from strategic roadmapping and ready-to-deploy applications, all the way to implementation of transformative business solutions through our AI as a Service (AIaaS) platform.

With a renowned faculty fellow network, the largest privately-owned Canadian artificial intelligence R&D lab, as well as a growing network of specialized business partners, we’re the ideal team to take on your organization’s AI challenges.

Executive Team

Jean-François Gagné

Founder & CEO

Jean-Francois is a veteran AI entrepreneur and former Chief Product Officer and Chief Innovation Officer at JDA Software, where he was the youngest global C-Level Executive of a top-20 Enterprise Software company. He has founded and successfully exited two companies in AI and Operations Research, represented Canada as a Technology Investment Champion Speaker for Global Affairs, and is a sought-after expert for educating top-level management about the impact of AI on industry.

LinkedIn @jfgagne

Yoshua Bengio, PhD

Co-Founder & Deep Learning Pioneer

Widely considered as one of the three pioneers of deep learning, as well as the most impactful recent advances in machine learning, Dr. Bengio is a world-renowned researcher with more than 300 publications and over 65,000 citations to his name. He holds a Canada Research Chair in Statistical Learning Algorithms and an NSERC Industrial Chair. He is a Senior Fellow of the Canadian Institute for Advanced Research and co-directs its program focused on deep learning. He has been program chair and general chair of NIPS, the leading academic machine learning conference, and co-created ICLR, the leading deep learning conference.

Google Scholar Website

Faculty Fellow Network

Our Faculty Fellow network includes over 20 world-renowned AI scientists from the best academic labs including the Montreal Institute for Learning Algorithms, McGill University, University of Toronto, the Institute of Data Valorization, the Vector Institute, University of Waterloo and the University of British Columbia. This network is a unique opportunity for top researchers to debate and work closely with peers from adjacent domains and work on real-world applications

Our Faculty Fellows collaborate with our in-house research engineers and scientists on vanguard projects as well as unique opportunities in applied machine learning and operations research. This group offers a unique opportunity to work and debate with peers who bring perspective to the most advanced techniques and approaches in AI.

Our Research & Development Lab

As the largest privately owned Canadian artificial intelligence lab, we constantly push the frontier of knowledge, tackling the world's biggest and most interesting challenges in artificial intelligence, machine learning and operations research.

To achieve this ambitious goal, we combine an open vision for research with state-of-the-art computing infrastructure. As a result, our researchers move fast and publish impactful papers in the best journals and conferences.

We're in it for the long run: we believe fundamental advances in artificial intelligence will be transformative and a driving force towards a better, fairer world.

Are you a developer or scientist looking to make a difference in a rapidly evolving field?

Join Our R&D Team

Business Network

The first AI partnership network to help businesses around the world succeed. 

MLDB's data science team provides data and infrastructure audits, isolates the type of personalized decisions you need, and develops applications on top of MLDB, the machine learning database. Their solutions are built on machine learning's ability to predict, personalize, alert, and make decisions that have a meaningful impact on your business.