Program overview

TritonAI

A shared AI platform for service, instruction, development, and everyday campus work.

TritonAI includes TritonGPT, campus data tools, a model hub, developer APIs, embedded assistants, reusable workflows, and early support for supervised agents. These services share a common governance and infrastructure model.

UPDATED

September 2026

CONTEXT

University of California, San Diego

Executive summary

Scope of the program.

TritonAI is UC San Diego's institutional AI program, serving 73,000+ students, faculty, and staff. It includes infrastructure, task-specific assistants, campus data tools, instructional pilots, developer access, and shared workflows.

TritonGPT is the shared platform at the center of that work. The SDSC-hosted environment is available to students, staff, and faculty and supports model choice, on-premises and approved cloud routes, developer APIs, embedded website support, and agent workflow components. TritonGPT's default model now runs on UC San Diego-hosted infrastructure, keeping routine campus AI traffic on UC-controlled hardware.

The platform has also been licensed to peer institutions, including UC Berkeley (BearGPT), UC Agriculture and Natural Resources, Fairleigh Dickinson University (FredGPT), and UC Merced (SCOUT), which opened to its full campus in September 2026.

TritonAI program architectureKnowledge and memory, a developer surface, model access, and workflow agents all connect to one shared, governed TritonAI core.01Knowledge & MemoryDocs, data, retrieval02Developer SurfaceBuild & extendModel AccessHosted models, APIsWorkflow & AgentsAutomated workTritonAI core

01

Knowledge

Curated campus context, uploaded documents, and live data tools

02

Model Access

Self-hosted and approved cloud models through governed routes

03

Developer Surface

APIs, credits, keys, endpoints, and usage reporting

04

Workflow

Assistants, embedded support, tools, and reusable agent scaffolding

Program parts

What TritonAI Includes

TritonAI includes the shared pieces needed to support campus adoption: a governed platform, embedded experiences, instructional tools, live data integrations, developer access, reusable skills, and a path toward supervised agent workflows.

Developer API Program

A governed path from a personal experiment to a campus service.

A recurring challenge in campus AI is moving from a working prototype to something the university can operate. The Developer API Program provides shared infrastructure and defined ownership for that process. Before choosing a path, a project defines its user, its task, the approved data it may touch, and the outcome to measure it against.

01

455.3B
Tokens through the gateway
January–August 2026, peaking at 78.9B in August

02

143.9M
API requests completed
Across self-hosted and approved cloud routes

03

92.6%
Served by self-hosted models
Self-hosted and internal routes rather than commercial cloud

Campus need

A question, a workflow, a document task

TritonAI Gateway

identity · routing · policy

Approved models

Chosen for the task — UC-hosted or approved cloud

Approved knowledge

Grounded at request time, not trained into weights

Approved tools

Bounded capabilities a person can check

Human review — ownership · evidenceEvaluationAccessibilityMonitoringControls surround the full service

Supported ways to build

All paths route through the TritonAI LLM Gateway, which reaches approved commercial providers and UC-hosted open-weight models across chat, reasoning, vision, image generation, OCR, and coding.

Preferred for most staff

TritonAI Harness

A campus-oriented desktop experience for Mac and Windows, open to anyone with a Gateway key. Bundled installation, UC San Diego model access, campus skills, and Microsoft 365 connections.

Recurring processes

n8n Workflow Automation

Connect applications and APIs around a defined trigger — schedules, webhooks, messages, or file events — for repeatable, reviewable automation.

Technical builders

Claude Code

A command-line environment with direct Anthropic model access, for people already comfortable working in a terminal.

Experienced builders

Codex desktop app

An OpenAI desktop environment for managing code, repositories, parallel tasks, and agent workflows.

Four hosting lanes, chosen by scope and risk

A project does not have to guess how much process it needs. The lane follows the audience and the blast radius, and it can change as the work grows. Whatever the lane, the owner stays responsible for approved data, testing, accessibility, support, and human review.

  1. Lane 0Personal workspaceIndividual exploration in a desktop or sandbox environment.
  2. Lane 1Department applicationA focused application with a known audience and a business owner, published through approved campus paths.
  3. Lane 2Managed campus serviceA shared workflow with integrations or broader operational impact, hosted by TritonAI or ITS.
  4. Lane 3Enterprise serviceCampus-wide delivery with formal architecture and governance.
Credentials, usage expectations, and project ownership

Recorded work

TritonAI in Action

Examples from the TritonAI portfolio, built on TritonGPT and connected to everyday university work.

Job Description Helper

Helps HR and hiring managers draft clear, compliant job descriptions in minutes.

Fund Manager Coach

Guides grant and fund managers on compliance, allowable expenses, and spending restrictions.

UC San Diego Assistant

Answers campus policy and service questions using curated departmental knowledge and institutional resources.

Contract Reviewer (In Production)

Automated NDA and contract review via monitored inbox + portal. Auto-redlines third-party contracts against UC San Diego and UC Terms & Conditions and Legal Position.

Measured signals

Early Signals from TritonAI

A few measures that show how the work is affecting administrative workflows, public support, and learning.

01

91%
Faster Contract Review
120 minutes to 11 minutes on average

02

83%
Faster Job Description Drafting
30 minutes to 5 minutes on average

03

30+
Model Hub Breadth
Self-hosted and approved cloud models available through TritonAI

04

$500K
Projected Annual Savings
From replacing third-party public support tooling

Operating principles

How TritonAI Is Taking Shape

TritonAI is being developed around a few practical principles: governed infrastructure for sensitive work, shared access across projects, tools designed around specific campus pain points, model choice without fragmented governance, and an architecture that can evolve from assistants toward supervised agency.

Trust Is Infrastructure

Sensitive work in HR, finance, legal, student support, and institutional operations needs governed infrastructure. TritonAI separates local/self-hosted capacity from approved cloud routes so projects can match model choice to data sensitivity, cost, and task complexity.

Make AI a Shared Utility

Shared infrastructure and zero-variable-cost access can make experimentation available to more people. The program aims to provide broad and equitable access to useful tools.

Solve Specific Pain Points

The strongest use cases have been concrete ones: contract review, public support, search, scheduling, performance review alignment, transcript workflows, and instructional support. Focused tools create trust faster than generic chat.

Meet People in the Workflow

TritonAI is showing up in Blink, public websites, teaching tools, mobile experiences, developer projects, and departmental applications. Adoption improves when AI appears where work is already happening.

Stay Model-Agnostic

The architecture is built around gateways, canonical model routes, connectors, usage reporting, and governance rather than a single provider. That keeps campus teams flexible as models, prices, and commercial terms change.

Prepare for Agency

The next step is moving from answering questions to completing supervised multi-step work. APIs, reusable skills, connectors, model observability, and access monitoring are the pieces that make that shift practical.

Assistant index

Examples Across the TritonAI Portfolio

These are not generic chatbots. They are focused tools built around specific service, instructional, research, and administrative workflows where grounded context and institutional trust matter.

01

UC San Diego Assistant

Cross-functional knowledge bridge drawing from 70+ curated department websites, hundreds of ServiceNow knowledge base articles, and UC San Diego policies.

02

General AI Assistant

Writing and editing support without UC San Diego-specific context or reference links.

03

Job Description Helper

Helps HR and managers draft clear, compliant job descriptions much faster.

83% reduction in drafting time

30 min → 5 min average

04

Contract Reviewer (In Production)

Automates NDA and contract review for the UC San Diego Procurement team via a monitored inbox and portal. Cleans formatting, extracts clauses, applies UC San Diego rulesets, and produces annotated redlines aligned with UC Legal Position and university template terms.

91% time savings for NDAs/T&Cs

120 min → 11 min average

05

Fund Manager Coach

Expert guidance on grant compliance, spending restrictions, and financial management for research funds.

06

Phishing Analyzer

Scores suspicious emails for phishing risk and explains warning signs to protect campus data.

07

Deep Research Assistant

Synthesis and analysis across hundreds of research documents and institutional data points.

08

Triton Developer Assistant

On-demand coding support and documentation analysis for staff and administrators.

09

Socratic Tutor

Guided learning assistant that helps students master materials without providing direct answers.

10

Instructor AI Assistant

Automated generation of quizzes, summaries, and study guides directly from lecture content.

11

Internet Search Assistant

Conversational AI with internet access for real-time information and answers.

12

Expert Notetaker

Converts transcripts or notes into structured documentation focused on decisions and actionability.

13

Project Charter Assistant

Helps draft professional project charters.

14

AI Workplace Opportunity Assistant (v0.1)

Interviews users about daily tasks to suggest tailored AI use cases and prompts.

15

Performance Review Evaluator

Helps supervisors and HR teams assess whether performance ratings are supported by written comments, with stricter review of rating/comment alignment.

16

Data Dictionary Assistant

Provides definitions from specific UC San Diego data sources like the Activity Hub and Blink.

17

Supplier Search Tool

Assists in finding campus suppliers and explains the UC San Diego purchasing process.

18

UC San Diego Benefit Assistant

Answers questions regarding employee benefit packages.

19

Student Scheduling Assistant (Live)

AI-powered scheduling assistant launched July 2026, now live on students.ucsd.edu with the Class Planner go-live July 20. Serves 20K-40K students in waves, letting them build optimized schedules through natural-language conversations based on subject codes, availability, and prerequisites.

20

Enterprise Data Agent

Natural-language interface to UC San Diego's enterprise data warehouse. Turns plain-English questions into structured queries across Activity Hub, UCPath, and campus data sources.

21

Transcript Matching (In Production)

OCR and transcript verification workflows for enrollment-related review. Matches student transcripts against program requirements automatically, reducing manual review time for admissions and records teams.

99.86% accuracy in validation

Across 3,700+ records with five errors

22

Dissertation Formatter (Pilot)

Helps students identify which formatting rules their dissertation breaks, with clear guidance on which fixes still need a person to decide.

23

BioBib (Pilot)

Assembles a faculty BioBib draft from approved activity data — publications, teaching, service, and awards — ready for review.

Roadmap

Where TritonAI Is Going Next

The next phase expands beyond chat into a broader tools hub: richer model access for developers, more embedded campus experiences, workflow orchestration, observability, live data integrations, and new support for academic and administrative use cases.

01

Instructional AI Expansion

Canvas integration is live, giving enrolled students a course-connected AI Tutor grounded in instructor-approved materials. Next: more course pilots and simpler assistant creation for instructors.

02

Developer API Program (Live)

Live with supported build paths — the TritonAI Harness, n8n workflow automation, and developer APIs — across four hosting lanes from personal sandbox to enterprise service. 455.3B tokens and 143.9M API requests through the gateway in the first eight months of 2026 (january–august), 92.6% on self-hosted models. Next: broader recharge paths from prototype to funded campus application.

03

Mobile Integration (Live)

The UC San Diego Assistant is live in the official UC San Diego mobile app on iOS and Android, delivering campus knowledge, parking availability, and location busyness from the phone.

04

Model and Service Observability

Catalog monitoring, access checks, usage signals, and AI-assisted detection for service anomalies and operational risk.

05

Academic Advising Agent

Proof-of-concept support for tier-one academic advising questions and triage.

06

Agent Builder and Workflow Tools (Live)

The TritonAI Harness is out of pilot and a supported build path for development teams. Low-code orchestration, reusable skills, MCP-style connectors, and guardrails for supervised multi-step campus workflows. 22.5B tokens used, 119 merged PRs, 1,139 AI reviews in first weeks.

Program lesson

What We're Learning Through TritonAI

One lesson so far is that shared infrastructure makes institutional AI easier to support. Secure hosting, model choice, reliable knowledge sources, live tools, reusable connectors, governance, and partnership with the people doing the work all affect the result.

TritonAI is one way of learning how shared institutional AI can become practical and trusted.

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