Amazon Nova Pro
2 use cases using this technology
Multitudes Builds Code Review Quality Feature in 2 Months Using 3 LLMs on Amazon Bedrock
Multitudes
Multitudes, a New Zealand-based engineering analytics startup, used Amazon Bedrock to build a code review quality feature, testing over 10 large language models across roughly 1,000 code reviews before choosing Amazon Nova Pro for bot detection, Anthropic Claude for feedback specificity and prompt-injection detection, and Mistral for sentiment analysis, orchestrated with Amazon Elastic Container Service. The feature increased monthly active users by 44 percent within two months of launch and reduced severe misclassification rates from 20 percent to under 1 percent.
Myriad Genetics speeds document processing with AWS GenAI Intelligent Document Processing Accelerator
Myriad Genetics
Myriad Genetics partnered with the AWS Generative AI Innovation Center to replace an Amazon Textract/Comprehend pipeline with Amazon Bedrock foundation models (Nova Pro for classification, Nova Premier for extraction) using the open-source GenAI IDP Accelerator. Document classification accuracy rose from 94% to 98%, classification cost per page fell 77% (3.1 cents to 0.7 cents), and classification time fell 80% (8.5 minutes to 1.5 minutes per document). Automated key information extraction reached 90% accuracy matching the manual baseline, with a projected $132K in annual savings and 300 hours saved monthly across 9,000 prior authorizations in the Women's Health unit alone.