Title
Sanofi Drives Scientific Innovation with AI on AWS for Real-Life Patient Impact
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Description
Paris-based Sanofi's Digital Accelerator built eight AI-powered products on AWS in 18 months, including a marketing suite deployed across 18 countries, using Amazon SageMaker for ML development and condensing advanced analytics processes that took 6 months down to 1 month.
the Digital Accelerator has introduced eight products to propel Sanofi's modernization
…a profound shift in how the company develops and delivers medicines to patients—condensing advanced analytics processes that traditionally took 6 months to 1 month. In the last 18 months, more than 300 new talents have joined Sanofi, strengthe…
Company
Sanofi
…tive has helped Sanofi shorten the time from discovery to therapy. About Sanofi Sanofi is a global healthcare and pharmaceutical company headquartered in Paris, France. Founded in 1973, the company engages in the research and development, manufactu…
Country
France
…tive has helped Sanofi shorten the time from discovery to therapy. About Sanofi Sanofi is a global healthcare and pharmaceutical company headquartered in Paris, France. Founded in 1973, the company engages in the research and development, manufactu…
Industry
Healthcare
…tive has helped Sanofi shorten the time from discovery to therapy. About Sanofi Sanofi is a global healthcare and pharmaceutical company headquartered in Paris, France. Founded in 1973, the company engages in the research and development, manufactu…
Problem
Sanofi wanted to become a leading digital healthcare company and shorten the time from drug discovery to therapy, but unlocking value from AI required robust data foundations, a data-driven culture, new technical capabilities, and employee upskilling that the organization did not yet have.
…hnology with the aim of bringing digital solutions to patients faster. However, unlocking value from AI requires considerable time, robust data foundations, and a data-driven company culture. It also necessitates a new set of technical capabilities and mandates the upskilling of employees. To support this vision, Sanofi launched the Digital Accelerator: an internal st…
Solution
Sanofi launched an internal Digital Accelerator startup of engineers, data scientists and business partners on AWS, using "pods" (product owner, scrum master, technical experts) and a serverless stack (Amazon SageMaker/SageMaker Studio for ML, AWS Lambda, Amazon S3, DynamoDB, AWS Glue, API Gateway, CloudFront, CloudWatch) to ship AI products across R&D, clinical, commercial and manufacturing, and ran a hackathon assessing Amazon Bedrock on more than 10 projects.
…capabilities and mandates the upskilling of employees. To support this vision, Sanofi launched the Digital Accelerator: an internal startup made up of a small team of engineers, data scientists, and business partners, working to deliver a suite of AI-powered solutions for business teams, to redu…
Business value
The Digital Accelerator shipped eight products in 18 months, condensed advanced-analytics processes from 6 months to 1 month, deployed a commercial marketing suite across 18 countries, delivered full API sets in under 24 hours with 30-second real-production test turnaround, and deployed three Bedrock-based generative AI models for employee productivity, business-process streamlining and medical-legal content review automation.
…a profound shift in how the company develops and delivers medicines to patients—condensing advanced analytics processes that traditionally took 6 months to 1 month. In the last 18 months, more than 300 new talents have joined Sanofi, strengthe…
AI capabilities
Predictive Analytics, Document Intelligence, Generative AI
…powering participants to remotely contribute their data and digital biomarkers, gaining insights from regulatory reports using natural language processing, and improving manufacturing efficiency with predictive AI. An example of commercial transformation fueled by the accelerator is its compr…
Technology
Amazon SageMaker, Amazon SageMaker Studio, AWS Lambda, Amazon S3, Amazon DynamoDB, AWS Glue, Amazon API Gateway, Amazon CloudFront, Amazon CloudWatch, Amazon Bedrock
…ng AI development processes and use machine learning (ML) at scale, Sanofi uses Amazon SageMaker , a service that is used to build, train, and deploy ML models for any use case. Amazon SageMaker provides not only a robust environment for deployment and sca…
Deployment model
cloud
…ucture ensured a comprehensive approach to data-driven AI development backed by a robust serverless technology stack on AWS. “We chose serverless technology early because it offers a rapid learning curve…
Headline outcome
…a profound shift in how the company develops and delivers medicines to patients—condensing advanced analytics processes that traditionally took 6 months to 1 month. In the last 18 months, more than 300 new talents have joined Sanofi, strengthe…
Use case type
Analytics augmentation
…ts of value to our patients, providers, or even internal users,” says Sghiouer. These digital solutions, spanning across research and development, clinical, commercial, and manufacturing, address a range of use cases. These include expediting the discovery of new drug targets and enhancing trial…
Capture details
- Captured
- 27 Sept 2026, 07:13 UTC
- Extractor
- fetch-strip@1
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- f3cfd4209ce8b6521c3afa5ce595d47155e997d9af4630fab0284e9ba749d45b