> For the complete documentation index, see [llms.txt](https://docs.understand.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.understand.tech/introduction.md).
# Introduction
This guide will walk you through every feature of Understand Tech, helping you get the most out of your data. It’s designed to be step-by-step and easy to follow; whether you’re using the platform to onboard customers, support internal teams, or scale knowledge delivery across your organization.
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And, promise, no matter if you are a team lead, part of any department, or a developer, you'll be able to harness the platform with ease.
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**But first ...**
### What is Understand Tech ?
Understand Tech is an **AI Application Factory**: a platform to create, deploy, and run AI applications on your own data, inside your own environment.
Not just chatbots, but real applications that *do the work*. Generating test cases from a spec, answering standards questions with citations, analyzing payroll files, drafting reports, the kind of tasks your teams actually spend their days on.
And because everything can run on-premise, your data never leaves the building.
#### What you can do with it
**Pick an app from the Marketplace.** Ready-made applications for technical teams (Test Case Generator, Standards Navigator, Workbench, Compliance) and for regulated industries (Multi-LLM Portals, Assistants, Chat with CSV). Deploy them as they are.
**Build your own with App Builder.** Describe what you need in plain language: what it does, what knowledge it uses, who it's for. Get a working app in minutes. No code. Refine it through conversation until it's right, then package it as your own.
**Plug it into your products with the API.** REST APIs and SDKs (Python, TypeScript) for developers who want Understand Tech as the AI backend behind their own tools.
**Centralize knowledge in Knowledge Bases.** One place for your documents, specs, and references. Every app and workflow pulls from it automatically.
**Automate with no-code Workflows.** Chain apps and models together to handle document analysis, classification, report generation, multi-model reasoning, and more.
**Deploy anywhere.** Embed apps on your website, share them as internal tools, expose them as APIs, or connect them to your CRM, n8n, and other systems.
#### Where it runs
Three options, same platform:
* **AI-In-a-Box**, a secure appliance powered by NVIDIA GB10, installed inside your network. Fully air-gapped.
* **Customer-managed VPC**, your cloud, your control.
* **SaaS**, fastest to get started.
Whichever you choose, the experience is identical.
#### Security by design
Sovereign LLM (Understand AI), SOC 2 certified, GDPR compliant, end-to-end encryption, and zero data retention with external model providers.
Full details on our Trust Center: 🔗
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