Areas of Focus
Where our faculty and students are building with AI agents.
Cloud AI Frameworks
Building and governing AI agents on cloud platforms, with guardrails suited to teaching, learning, and institutional use.
- Access to frontier-scale model capability
- Institutional guardrails and FERPA-conscious design for classroom use
- Shared frameworks faculty and staff can adopt quickly
- Adaptable across multiple cloud platforms and model providers
Local AI Systems
Running agents on local and campus-controlled infrastructure, keeping data private and under our own stewardship.
- Deeply controllable and customizable
- Fully inspectable and transparent
- Completely offline operation possible
- Never subject to unexpected price, policy, or model changes
- Safety rules and institutional values embedded inside the AI
- Community shaped development and improvement
Agentic Analysis Pipelines
Multi-step agent workflows that turn raw data into analysis, insight, and decisions people can trust and verify.
- Repeatable, auditable analysis workflows
- Human review built into every step
- Applied to research, operations, and partner questions
- Designed for transparency and reproducibility
- Visualizations that communicate clearly to stakeholders