Field sales focus
Sanofi has chosen Snowflake for its AI-driven drug development work, centred on a new AI agent for the drugmaker's field sales teams.
The project includes the launch of "Concierge for Field", a tool built with Snowflake Cortex AI that prepares sales representatives for visits with physicians and other providers. The system can generate a pre-call plan in seconds, highlighting priority physicians by specialty and prescribing history, showing past engagement and sending the plan by email.
The deployment is part of a broader effort by the French pharmaceutical group to use AI across research and development, procurement, IT, human resources and commercial operations. Sanofi is consolidating its data on a single foundation intended to support those systems.
Research teams are also using Snowflake to process real-world clinical data at scale, work intended to speed analysis used in drug development decisions.
Data consolidation
The field sales application is the clearest public example so far of a wider shift in how Sanofi handles internal data and software. Earlier investments had produced thousands of dashboards while leaving much of the underlying data underused.
To address that, Sanofi has been working with Elementum, a partner focused on AI workflows, alongside Snowflake's Cortex AI tools, including Snowflake CoWork. Those workflows run directly on Snowflake rather than through older software systems that require data to be moved in and out of separate applications.
That approach reflects a wider pharmaceutical industry trend, as companies try to apply AI to large stores of research, manufacturing and commercial data while dealing with fragmented systems built up over many years. Drugmakers have argued that bringing data together in one place can reduce delays in analysis and support faster operational decisions.
Snowflake said its Forward Deployed Engineers are working with Sanofi's data and engineering teams on the build-out. The group includes AI engineers, researchers, full-stack and data engineers, data professionals, industry specialists and AI product managers.
AI at scale
For Sanofi, the effort is tied to a broader ambition to use AI at scale across the business. The company described the work as a new operating model linking research, manufacturing and commercial functions more closely through shared data.
"For years, we have been building complex pipelines to move data in and out of expensive software, just to access our own data," said Emmanuel Frenehard, Chief Digital Officer, Sanofi.
"With Snowflake and Elementum, we saw a clear path forward. We are building AI directly on our data and reinventing how the company runs, from R&D to manufacturing to commercial. This is how Sanofi becomes the first biopharma powered by AI at scale," added Frenehard.
Snowflake presented the Sanofi agreement as evidence that pharmaceutical companies are moving beyond pilot projects toward more embedded uses of AI in day-to-day operations. In this case, the commercial team's use of AI-generated physician briefings sits alongside research on clinical data and a wider push into internal business functions.
Industry shift
Sanofi is one of the world's largest biopharmaceutical companies, and its use of Snowflake gives the data software provider a prominent customer example in healthcare and life sciences. Snowflake said more than 13,900 customers use its platform globally.
"Sanofi is showing what becomes possible when AI is built directly on top of trusted enterprise data," said Sridhar Ramaswamy, Chief Executive Officer, Snowflake.
"Instead of layering AI onto fragmented legacy systems, they are using Snowflake as the foundation for a unified, agentic enterprise, connecting research, manufacturing and commercial operations on a single AI-ready platform. Sanofi is proof that AI is creating measurable impact in the real world. From accelerating drug development to helping field teams operate with greater speed and precision, this is the future Snowflake enables: intelligent systems working directly on governed data to help organizations move faster, operate smarter and ultimately deliver better outcomes for the people they serve," added Ramaswamy.