---
title: "Full Platform Demo"
url: "https://atlan.com/live-demo-series-atlan-full-platform-demo/"
description: "See how Atlan's context layer works end-to-end, from mining your existing data stack to deploying governed context to any agent platform."
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

**Atlan in Action: Full Platform Demo.** See how Atlan's context layer works end-to-end, from mining your existing data stack to deploying governed context to any agent platform. A 45-minute live session with Q&A for teams building AI agents and AI analysts.

**Date as listed on the page:** Sep 30 / Virtual / 11 AM ET / 45 min / Live Q&A. Register on the page: [https://atlan.com/live-demo-series-atlan-full-platform-demo/](https://atlan.com/live-demo-series-atlan-full-platform-demo/).

## About this session

The knowledge your AI needs already lives in your stack: your schemas, BI dashboards, and SOPs. The problem is it isn't structured for agents to use. In this 45-minute session, watch Atlan structure it live: Context Agents enriching your data stack, Context Engineering Studio assembling and testing a context repo, and then deployment to any agent platform in one step.

Presenter: Ryan Quigley, Strategic Sales Engineer, Atlan.

## What you'll see

1. **AI analyst without context vs. with it.** The same business question answered twice: first by an AI analyst reasoning over raw tables and columns, then by the same analyst with Atlan's context layer wired in.
2. **Context Agents build agent-ready context.** Context Agents extract column-level lineage and usage patterns from 100+ connectors across your data platforms, BI tools, and systems of record, then generate asset descriptions and SQL Intelligence automatically. Humans on the loop.
3. **Context Engineering Studio builds and tests your context repo.** Tell Context Engineering Studio what you need to analyze. It finds the right assets, generates a semantic model and skills, and runs eval simulations against your real query history before anything ships. AI proposes. You certify.
4. **Context portability via MCP, APIs, or native integrations.** Push your context repository to any agent platform or endpoint, then watch real-world usage feed back into context refinement, so accuracy improves over time, not just at the point of deployment.

## Customers

Trusted by 500+ AI-forward enterprises. Customers shown: Mastercard, HubSpot, Zoom, Dropbox, Autodesk, Nasdaq, Fox, GitLab, Unilever, Workday, Elastic, NHS, Affirm, General Motors, easyJet, Medtronic, New York Life, Grainger.

Customer videos ("The only proven way to create context"): DigiKey: Context Readiness (Sridher Arumugham) / CME Group: Context at Speed (Kiran Panja) / Mastercard: Context by Design (Andrew Reiskind) / Virgin Media O2: Context for All (Mauro Flores).