Sonrai
Sonrai has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries.
Hyperscaler mix
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How Sonrai builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
−50%
Time & speed
median · 2 metrics
−80%
Quality & accuracy
median · 1 metric
Medians of results published in Sonrai cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Sonrai uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
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- 9
Capability mix
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All Use Cases (2)
Sonrai Accelerates Single-Cell RNA-seq Data Analysis Using Amazon Bedrock
Researchers in the biotech and pharmaceutical industries grapple daily with the complexity and volume of single-cell RNA sequencing (scRNA-seq) datasets, which are crucial for understanding diseases and developing targeted therapies.Sonrai sought to use generative AI to simplify and streamline interpretation of scRNA-seq data and reduce the manual burden on immunologists.Sonrai Discovery uses large language models through Amazon Bedrock to automate cluster annotation, generate consistent text reports, and support faster analysis on AWS.
Sonrai uses Amazon SageMaker AI to accelerate precision medicine trials
Sonrai built an end-to-end MLOps framework on Amazon SageMaker AI for precision medicine biomarker discovery.The workflow helps evaluate many omic combinations while preserving traceability and reproducibility required for regulated clinical use.
