The Story Behind campusGenAI

How UMass Amherst built AI infrastructure for campuses and communities.

Student on campus

The Problem

How Can We Make AI More Accessible Across Our Campus?

UMass Amherst was faced with a straightforward problem: the university needed AI tools for 30,000 people, and the per-seat licensing model from commercial vendors meant most of them would get nothing.

The Solution

campusGenAI: Infrastructure For Universities

UMass Amherst's Center for Data Science & AI (CDSAI) built campusGenAI on LibreChat, an open-source AI chat interface, to make it enterprise-ready with the layer institutions actually need.

  • Single Sign-On
  • Usage Analytics
  • Admin Dashboards
  • Institutional Branding
campusGenAI platform interface

Our Values

Collaboration

We invite you to have a seat at the design table and contribute to the future of what AI in higher education will look like.

Education

The campusGenAI Platform offers a hands-on space to experiment with cutting-edge generative AI tools. Stay competitive, future-ready, and AI-informed.

Open Source

Our platform is built on top of open-source technologies and a strong community foundation.

Cost Sustainability

We are committed to a cost recovery model that enables continued development of a platform prioritizing the goals and values for higher education.

datacore

A More Durable Model for Applied AI

dataCore's team of data scientists and software engineers built campusGenAI to provide a durable and scalable model. Projects move faster, maintain quality, and build institutional capability over time, so institutions don't have to start from scratch each time.

Centralized Recruitment

Structured Onboarding

Shared Technical & Engineering Standards

Stable, Tiered Team Structure

Knowledge Continuity Across Projects

Integrated Experiential Learning Pipeline

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