CACTUS accelerates prototyping using generative AI on AWS
Academic research services company CACTUS Communications built more than 20 generative AI use cases, including the Ask R Discovery research assistant and Paperpal's ChatPDF feature, on Amazon Bedrock with Anthropic Claude, cutting idea-to-prototype cycles by 65 percent and growing daily active users by 40 percent.
Overview
Academic research services company CACTUS Communications built more than 20 generative AI use cases, including the Ask R Discovery research assistant and Paperpal's ChatPDF feature, on Amazon Bedrock with Anthropic Claude, cutting idea-to-prototype cycles by 65 percent and growing daily active users by 40 percent.
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Inspect the highlighted sourceThe challenge
CACTUS wanted to build generative AI-powered research and publishing services using the latest LLMs without the cost and burden of provisioning and managing its own training and inference infrastructure.
The solution
CACTUS built more than 20 generative AI use cases on Amazon Bedrock (running Anthropic Claude) integrated with its existing AWS stack (Amazon EKS, AWS Lambda, Amazon Athena, Amazon S3, Amazon OpenSearch Service), using Terraform and AWS CDK to automate provisioning and Amazon Bedrock Guardrails for safety, producing products like Ask R Discovery and Paperpal's ChatPDF.
Reported business value
CACTUS cut idea-to-prototype cycles for new AI features by 65%, doubled its annual growth in AI products for three straight years (over 100% annually), grew daily active users 40%, reduced token usage costs 5-10% via prompt caching, and maintains a net promoter score of 50-70 versus an industry average of 20-30.
Sources
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