
Your A-to-Z Enterprise AI Glossary
September 1, 2026 • Katy Walsh and Nicole M. Laine • 15 min read
Learn key enterprise AI terms from A to Z. Understand AI gateways, data sovereignty, RAG, prompt caching, and zero-token retention in plain English.
Artificial intelligence is having a moment. From large language models to AI copilots, businesses and developers are rushing to adopt new tools that promise speed, automation, and entirely new capabilities. But with all this excitement, something important is getting lost in the noise:
When you use AI tools, where does your data go? Who sees it? Is it even possible to know?
At amazee.io, these questions matter deeply to us. That's why we built amazee.ai, a suite of AI tools that give you all the benefits of modern AI while guaranteeing one thing most providers can't: your data stays within your control.
Back in 2016, we launched amazee.io to solve a very specific pain point: developers were spending too much time wrestling with infrastructure instead of building great applications. To solve that, we built amazee.io, an open source application delivery platform that abstracted away the complexity of Kubernetes. It made deploying code easy and reliable. Over the years, our mission has expanded: we're helping developers move faster without giving up control. We have built tools that empower teams, respect privacy, and support open source communities. We have never believed that "cloud-native" has to mean "cloud-dependent."
In 2023, as generative AI exploded, we saw something we recognized from the early days of cloud: incredible power and huge potential, but a serious lack of transparency. Many companies jumped on the AI bandwagon, only to hit a wall when they started asking basic questions:
Most AI services couldn't provide clear answers. They processed inputs in data centers scattered around the world, often with vague terms, unclear storage rules, and few privacy guarantees. For privacy-conscious industries, highly regulated sectors, or even companies with internal data policies, this was a dealbreaker.
We saw the same pattern repeat itself: exciting technology, but built in ways that excluded the people who needed control the most. So we decided to fix it.
amazee.ai is our answer to the privacy crisis in AI. We built it with a simple but powerful promise: You decide where your data is processed and stored, and we make sure it stays there.
Our infrastructure guarantees that your AI queries, vector embeddings, and custom models never leave your chosen region. We use open source tooling, industry best practices, and modern deployment techniques to give you confidence, compliance, and speed. All at once.
No dark data lakes. No silent retention. No hidden surveillance.
Our first launch is a plug-and-play AI provider for Drupal. It lets you easily integrate powerful AI features like text summarization, question answering, and search directly into your Drupal site, all running on amazee.ai's private infrastructure. Users can even enable vector search for smarter, context-aware results without shipping their data off to a mystery cloud.
No new DevOps skills or fine-tuning are needed. Just real AI capabilities with full transparency, built to work seamlessly with your existing setup.
We're not stopping at Drupal.
For developers building their own applications, we've got you covered there, too. We're launching an OpenAI-compatible Private AI API Gateway that connects to powerful open source models with the same API format you're already using. That means you can switch from a commercial provider to amazee.ai in minutes; no code rewrite, no compromises, and no guessing where your data ends up.
We believe AI should be open, transparent, and sovereign. Developers and businesses deserve more than vague assurances; they deserve clear, trustworthy solutions. And we believe the future of AI shouldn't be locked inside someone else's black box.
amazee.ai is our step toward a future in which you don't have to choose between powerful AI and responsible data practices.
Your data.
Your tools.
Your rules.
Learn how amazee.ai can help you implement private AI solutions for your content management needs.

Author
Michael Schmid, Founder & General Manager
Michael Schmid (widely known in the Drupal developer community as "Schnitzel") is the Founder and General Manager of amazee.io and amazee.ai. A visionary leader in open source systems and cloud-native application hosting, Michael has spent decades architecting high-availability infrastructure and scaling enterprise web operations globally. He established his technical foundation through an IT apprenticeship at Siemens Switzerland and TBZ Technische Berufsschule Zürich, later sharing his insights as a Visiting Lecturer at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Today, Michael directs the strategic vision for amazee.ai’s enterprise trust layer, pioneering private AI gateway solutions that emphasize zero-token retention architectures, rigorous prompt engineering security, multi-model routing efficiency, and advanced agentic workflows via amazeeClaw. He is an internationally recognized speaker, open source champion, and cloud infrastructure innovator, and Private AI advocate.

September 1, 2026 • Katy Walsh and Nicole M. Laine • 15 min read
Learn key enterprise AI terms from A to Z. Understand AI gateways, data sovereignty, RAG, prompt caching, and zero-token retention in plain English.

August 24, 2026 • Katy Walsh, technical review by Thomas Schröpfer • 11 min read
Scaling AI across your company? Discover how a private AI gateway protects customer data, stops shadow AI, and prevents vendor lock-in.

August 5, 2026 • Nicole M. Laine, technical review by Ricardo Luchsinger • 14 min read
Read more
July 29, 2026 • Katy Walsh, technical review by Thomas Schröpfer • 12 min read
Discover how middleware tools inside AI gateways save your data, and learn how to enforce true Zero-Data Retention defaults for your company.

July 16, 2026 • Nicole M. Laine and Lauren Morris • 6 min read
Discover how to scale agentic workflows without compromising data privacy. Learn why a regional, private API gateway is critical for secure enterprise AI.

July 2, 2026 • Matthew Saunders • 11 min read
The UN Open Source Week exposed critical enterprise AI risks: vendor lock-in & data leaks. Learn why sovereign infrastructure is the ultimate fix.