Sonrai Accelerates Precision Medicine Research by 50% with AWS Generative AI
Sonrai takes advantage of Amazon Web Services (AWS) generative AI services to revolutionize precision medicine through advanced data management, biomarker discovery, and clinical trial analysis, helping biotech companies accelerate therapeutic development.
In a Nutshell
By the Numbers
50%
Faster research study timelines, dramatically reduced research cycles through automated data processing and AI-powered analysis.5x
Increase in data annotation and interpretation, scaled data processing capabilities while maintaining accuracy through the AI capabilities in AWS Bedrock.$20,000
Cost reduction per experiment, scaled data processing capabilities while maintaining accuracy through the AI capabilities in AWS Bedrock.Meet Dr. Matthew Alderdice
Head of Data Science at Sonrai
Sonrai delivers precision medicine cloud solutions enabling biotech companies to accelerate therapeutic development.
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Meet Dr. Matthew Alderdice
Open allWhat excited Dr. Alderdice about their role:
"I manage an incredibly talented team working to solve complex problems and deliver value to our biotech clients. I get the opportunity to experiment with innovative solutions that drive cancer treatments. That's exciting"
Alderdice source of inspiration:
“I'm inspired by our mission to develop groundbreaking cancer therapeutics. Seeing our work translate into improved patient outcomes and transformed lives drives our passion for innovation every day.”
How AWS is helping shape their business:
AWS empowers Sonrai to accelerate precision medicine research, cutting study timelines by 50% while enabling secure, scalable data analysis.
About Sonrai
The Opportunity
Before AWS, Sonrai's pipeline relied on manual processes that were time-consuming and error-prone, limiting the company’s ability to interpret vast amounts of biomedical data quickly and effectively. This created bottlenecks in therapeutic development and clinical trial analysis.
The Strategy
Sonrai implemented AWS Bedrock and AWS SageMaker to automate data processing and analysis workflows. Its solution architecture leverages AWS HealthOmics for FASTQ processing, while AWS security services ensure data protection. This comprehensive approach enables faster research timelines while maintaining compliance standards.
Business Outcomes
Research Speed
Reduced timelines for research study by 50% through automated data processing and analysis.
Data Processing
Achieved 5x faster data annotation and interpretation through AI-powered automation.
Cost Efficiency
Decreased experiment costs by $20,000 through optimized resource utilization.
Security and Compliance
Established secure, segregated environments for each client with comprehensive AWS security controls.
AWS Bedrock has expedited our adoption of generative AI. It has allowed us to explore and experiment in a cost-effective manner and work towards a full commercial solution without needing to build complex infrastructure. Instead, we have been able to focus on delivering hyper-specific capabilities within precision medicine.
Dr. Matthew Alderdice
Head of Data Science, SonraiGet Started
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