Enabling Secure AI-Assisted Research Computing with Amazon Bedrock at Leading Business School

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.

AI-Assisted Research Computing Case Study cover
Case Study · PDF

AI-Assisted Research Computing Blueprint

Explore the secure AI coding platform architecture, Research Gateway deployment, Amazon Bedrock integration, GPU-enabled workspace provisioning, AI cost attribution model, and business outcomes behind this AI-assisted research computing deployment.

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Business Challenges

1 Secure AI-assisted development without exposing data to public AI services
2 Governed access to approved Amazon Bedrock foundation models
3 Self-service, standardized AI workspaces with pre-installed development tools
4 Accurate cost attribution for variable AI model usage

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.

Claude Code with Amazon Bedrock
Codex with Amazon Bedrock
Browser-Based Remote Desktop (Amazon DCV)
GPU-Enabled EC2 Instances
Pre-Configured Python, R, Conda & Git
Research Gateway Study Folder Storage
IAM-Controlled Bedrock Model Access
Centralized AI Model Governance
Bedrock API Cost Tracking
Combined Infrastructure & AI Cost Reporting

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

01

Researcher Productivity

Researchers gained immediate access to secure AI-assisted development environments optimized for large-scale data analysis and software development, reducing environment setup time.

02

Secure Enterprise AI Adoption

By integrating Claude Code and Codex with Amazon Bedrock, researchers could use state-of-the-art AI coding assistants without exposing institutional data to externally hosted AI services.

03

Operational Efficiency

Research Gateway automated provisioning and lifecycle management of AI workspaces, reducing administrative effort while allowing researchers to operate independently within governance boundaries.

04

Financial Visibility

Research Gateway combined traditional infrastructure costs with Amazon Bedrock API consumption, enabling comprehensive project cost reporting and improved budget forecasting.

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.

AI RESEARCH CASE STUDY

Planning to bring secure AI coding assistants to your researchers?

Discover how Relevance Lab helps universities and research institutions deploy Claude Code and Codex on Amazon Bedrock through Research Gateway, enabling secure AI-assisted development, GPU-enabled self-service workspaces, and full AI cost attribution.

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