Campus Intelligence · powered by Ontography

One AI that knows your campus and gets it right.

Campus Intelligence unifies your course catalogs, events, faculty, and policies into a governed knowledge graph, then answers every student and staff question with cited, institution-approved accuracy. Students know it as Sternie at NYU Stern.

Book a demo See it in action

Piloted with the NYU Stern School of Business.

Which 1.5-credit FinTech courses are in-person on Mondays?

Found 3 matching sections that meet all your filters:

TECH-GB.2135 · Programming & Problem Solving

1.5 cr

In-Person · Mon 6:00-7:20pm · KMEC 1-70 · Prof. Shanley

FINC-GB.3173 · FinTech & Markets

1.5 cr

In-Person · Mon 7:30-8:50pm · Tisch LC-25 · Prof. Mendel

grounded in Spring 2026 catalog · cited · 1.8s

The problem

Watch a campus try to answer a question.

Every university runs the same broken simulation: thousands of people hunting for answers scattered across disconnected systems. Select each failure mode below and watch where it breaks.

Staff overload

Students Student Catalog Portal Email LMS Policies Departments Events Answer ? ? ? ? ? ? ? ? 1 2 3 4 5 6 7 ? Generic AI Wrong instructor Prof. Chen Wrong term Fall 2023 Wrong building Bldg 12 Answer ? On campus Off campus ? External AI Campus Intelligence Answer ?

10,000+

repetitive queries / semester

Capabilities

Ask in plain language. Get the right answer, instantly.

Not a smarter chatbot: a structured model of your campus. Ask in plain language; get cited answers from approved institutional data in under three seconds, as interactive results, not walls of text.

Answers across every office, in one place.

Financial aid, housing, room booking, the right email to drop a course. Campus Intelligence narrows it down and links students straight to the correct, current source.

How do I drop a course after the deadline?

After the drop deadline you'll need the Registrar. Here are the right next steps:

  • Late Drop Request Form

    Registrar · required

    Open ↗

  • W-Grade Policy

    Academic Policy §3.2

    Open ↗

  • Email your program advisor

    ba.advising@stern.nyu.edu

    Open ↗

routed to Registrar + Academic Policy · cited · 1.2s

Use cases

Built for everyone who keeps the institution running.

Students

A trusted copilot for the whole journey.

  • Plan a lottery schedule across specializations in minutes
  • Find classrooms, deadlines, and the right contact instantly
  • Discover events and courses matched to their interests
Deployment

Live in weeks, not quarters.

01 step

Connect

We ingest your catalogs, events, faculty, and policy docs and preprocess them into a structured knowledge graph with validated entity relationships. No more hallucinated cross-references.

02 step

Deploy

A responsive web app and PWA launches behind your SSO and email whitelist, with role-based access and topic-level permissions mapped to your org structure.

03 step

Improve

Students and staff flag answers, triggering department review workflows. Accuracy compounds over time with continuous, audited feedback loops.

Integrations

Meets your stack where it already lives.

Campus Intelligence connects to the systems your institution already runs: course catalogs, event calendars, faculty directories, LMS, and your identity provider.

  • Course catalogs
  • Event calendars
  • Faculty directories
  • Policy & FAQ docs
  • LMS
  • Campus maps
  • Career services
  • SSO / SAML
  • Email whitelisting
  • PostgreSQL
  • Vector search
  • Web search fallback
Institution story
NYU Stern

When the lottery window opens, it's the only tool I use to see which classes fit my schedule and specializations. The UI is incredibly sleek. Just ask in plain language, and it makes course selection and campus navigation interactive instead of frustrating.

CF

Chris Frye

Langone MBA Student, NYU Stern

the outcome

During the Langone MBA pilot, students used Sternie to plan and submit lottery selections with confidence, getting cited answers from approved institutional data without leaving the platform.

Read the full case study

Give your institution answers it can trust.

To book a demo or get in touch, email us at hello@ontography.ai.

hello@ontography.ai
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