At a Glance
- Company: Sanofi
- Location: Toronto, Ontario, Canada
- Investment: $294 million
- Focus area: AI and machine learning across pharma operations
- Next steps: Add 50 jobs and expand global AI deployment
What happened?
Sanofi said it will invest $294 million to expand its AI Centre of Excellence in Toronto, deepening a hub that it launched in 2022. The expansion is expected to create 50 new high-skilled jobs in artificial intelligence and machine learning.
Why does it matter?
The investment shows how major drugmakers are turning AI from a pilot capability into a core operating function across discovery, manufacturing and commercial teams. Sanofi says the Toronto centre will help speed up the delivery of medicines and vaccines, while strengthening Ontario’s position as a life sciences and AI hub.
Who’s behind it?
Sanofi is a Paris-based biopharma company that describes itself as R&D-driven and AI-powered. The Toronto expansion was supported by the Province of Ontario, which is contributing a conditional grant of up to $5 million through Invest Ontario.
How was it achieved?
The Toronto team has already grown to more than 150 roles since 2022, spanning cloud computing, data engineering, software development, bioinformatics and pharmaceutical data science. Sanofi said the new hires will design and deploy AI tools used across its global research, manufacturing and business operations.
What’s next?
Sanofi says the centre will continue scaling its AI capabilities and talent base in Ontario as part of a broader plan to invest more than $2 billion in Canadian infrastructure by 2028. The company also says it wants to halve the time from discovery to delivery of innovative treatments.
What are people saying?
Emmanuel Frenehard, Sanofi’s chief digital officer, said AI is now woven into how the company discovers, develops, produces, launches and supports therapies. Dimitrije Jankovic, Sanofi’s global head of digital strategy and operations, said Toronto is helping the company develop “made-in-Canada solutions” that can be scaled globally.