A leading business school deployed Claude Code and Codex on Amazon Bedrock through Research Gateway, giving researchers secure, self-service access to AI coding assistants without exposing sensitive institutional data to publicly hosted AI services.
A leading business school supports researchers working with large, often sensitive datasets across finance, economics, organizational behavior, marketing, healthcare, and public policy. As AI-powered coding assistants like Claude Code and Codex began transforming software development and data science workflows, the school saw an opportunity to boost researcher productivity — but institutional policy required sensitive research data to stay within its own cloud environment, and it needed detailed cost visibility to attribute AI spending accurately across researchers and projects.
Relevance Lab partnered with the school to deploy a secure AI-enabled research platform combining Amazon Bedrock with Research Gateway, giving researchers access to enterprise AI coding assistants while maintaining full institutional governance, security, and financial accountability.
Business Challenges
Solution
Relevance Lab deployed a customized Research Gateway platform accessible exclusively to authenticated university users.
Each research project was provisioned within its own dedicated AWS account, providing strong isolation, simplified governance, and project-level cost management.
Architecture Highlights
Secure AI Research Platform with Enterprise Governance
Researchers authenticate to the private Research Gateway portal and provision AI-enabled workspaces through approved catalog offerings. Each workspace runs within its own project AWS account, providing strong isolation between research programs.

Business Outcomes
Research Gateway: Built for Secure AI-Assisted Research
Relevance Lab helps universities and research institutions bring enterprise AI coding assistants to researchers without compromising data governance. Our expertise covers Research Gateway deployment, Claude Code and Codex integration with Amazon Bedrock, GPU-enabled self-service workspaces, and institution-controlled model access.
We combine deep AWS platform knowledge with hands-on experience in AI-assisted research computing, helping institutions keep sensitive data within their own cloud environment, standardize AI development workspaces, and give researchers secure access to leading coding assistants — with full cost attribution by researcher, project, and workspace.
