GatewayAI
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auto_awesome WashU AI Platform

AI assistants
built for
WashU

Build and deploy AI assistants powered by the latest state-of-the-art models — trained on your own documents and webpages, with evals, custom tools, and an embeddable widget.

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Washington University in St. Louis Powered by WashU Digital Intelligence and Innovation, DI2
Admissions Assistant
Live
Hi! I'm the WashU Admissions assistant. What can I help you with today?
What are the application deadlines?
Early Decision is November 1 and Regular Decision closes on January 2. Would you like more info on financial aid?
Ask me anything…
psychology Latest AI models
library_books Files & Webpages
State-of-the-art Latest models available
Files & Webpages Knowledge ingestion
One script tag Widget embed
Multi-team Department support

Platform capabilities

Everything you need to build production AI

library_books
Knowledge

Train assistants on your own content

Upload PDFs, Word docs, and spreadsheets — or point to any webpage and GatewayAI will fetch and index it automatically. Answers are grounded in your data via semantic search powered by OpenAI embedding models.

File upload Webpage scraping Split & merge chunks
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psychology
Models

Latest AI models

Access the latest state-of-the-art models or bring your own. Switch models per assistant without rebuilding your knowledge base or tools.

State-of-the-art Bring your own model Per-assistant config
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widgets
Widget

Embed on any site

Add a floating chat widget to any webpage with a single script tag. Control allowed domains and go live in minutes. The standalone chat app also supports password protection for restricted access.

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science
Quality

Evals & testing

Build test suites with real queries, run automated evaluations, and track assistant quality over time before publishing.

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bolt
Integrations

Custom tools

Give assistants the ability to call external APIs or collect structured form data mid-chat — all configurable without code.

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Analytics

Insights & feedback

Track sessions, review conversation feedback, monitor model usage, and export user insights across your team's assistants.

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Ready to build your first assistant?

Upload your content, pick a model, and publish — your team can be live with a knowledge-grounded AI assistant in minutes.

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