Normalized claim
Cost: 70% decrease
Achieved a 70% reduction in clinical trial costs and manual clinical work with 90% accuracy in medical coding.
Merck Accelerates Pharmaceutical Innovation Using AWS Generative AI and Data Analytics
Use case typeDrug discoveryUpdated Jun 13, 2026
Merck & Co., Inc. modernized its clinical data ecosystem to overcome siloed systems and accelerate drug development and manufacturing efficiency using AWS generative AI and analytics technologies. The company implemented a data platform spanning 300+ clinical trials and deployed AI models for medical coding, database workflows, and drug design using AWS HealthOmics and Anthropic Claude models on Amazon Bedrock. Merck also used generative AI text-to-SQL for natural language querying of healthcare data, improving analyst efficiency and accelerating R&D decisions. The manufacturing data analytics platform was rebuilt on AWS, leading to a 3x performance boost and 50% cost reduction. These innovations enabled a 70% reduction in clinical trial costs, 3x faster data processing, and overall operational cost savings.
- Organization
- Merck
- Industry
- Pharma
- Location
- United States
- Published
- April 2026
Reported outcomes
Cost: 3× lower
Cost savings
Catalog median for cost savings deployments: −40% across 171 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Cost: 90% decrease
Achieved a 70% reduction in clinical trial costs and manual clinical work with 90% accuracy in medical coding.
Normalized claim
Cost: 50% decrease
Reduced manufacturing analytics platform costs by 50% and improved data processing speed 3x.
Normalized claim
Cost: 3 x decrease
Reduced manufacturing analytics platform costs by 50% and improved data processing speed 3x.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Merck
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Customer Stories
The company implemented a data platform spanning 300+ clinical trials and deployed AI models for medical coding, database workflows, and drug design using AWS HealthOmics and Anthropic Claude models on Amazon Bedrock
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Generative AI
- 2Data Analytics
- 3Clinical Trial Optimization
- Merck collaborated with AWS and used Amazon S3, Amazon Redshift, AWS HealthOmics, and Anthropic Claude models on Amazon Bedrock to build advanced AI-powered data pipelines and generative AI solutions.
- Implemented generative AI text-to-SQL for efficient natural language data querying with over 95% accuracy.
- Built a comprehensive manufacturing data platform integrating data from hundreds of sources, automating drug design and clinical workflows with custom AI models.
- Deployed AI pipelines to improve protein design via biological foundation models.
Architecture
Merck's architecture includes a comprehensive data platform integrating clinical and manufacturing data, generative AI text-to-SQL built with Anthropic Claude models on Amazon Bedrock, AWS HealthOmics for protein design AI, and automated clinical workflows.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Apr 29, 2026Publisher: AWS Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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