
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.
Experimenting with LLMs is easy, but moving to production requires a robust AI gateway. While many teams look for an open source API gateway to maintain control, they often hit a wall when it comes to enterprise-grade security. That’s when the conversation shifts from productivity to the harsh realities of compliance. To bridge this gap, you need a dedicated enterprise API gateway that guarantees data sovereignty.
That’s why we’ve developed amazee.ai’s Private API Gateway. It’s a managed, OpenAI-compatible API layer designed to be the “enterprise trust layer” between your applications and model providers.
Most AI gateways on the market today are multi-tenant. Your requests are routed through shared infrastructure. For teams in finance or healthcare, a private API gateway isn’t just a luxury—it’s a requirement for SOC 2 and GDPR compliance.
At amazee.ai, we take a different architectural path. We focus on full isolation.
We know that “security” is a broad term, so we’ve backed our infrastructure with the certifications and protocols required by global enterprises.
| Feature | Typical AI Gateways | amazee.ai Private AI Gateway |
|---|---|---|
| Architecture | Multi-tenant / Shared routing | Private, isolated tenant |
| Data Residency | “Best effort” or broad regions | Specific (CH, US, UK, DE or AUS) |
| Governance | Provider-dependent | Enterprise API Gateway audit-ready |
| Logic | Proprietary/Closed | Based on Open Source API Gateway standards |
Open source offers flexibility, enabling you to avoid dependency on a single vendor, keep portability and future model choice, and reduce lock-in risk as vendors change terms or legal frameworks evolve.
amazee.ai’s Private AI Gateway supports model portfolio flexibility, including commercial and open source models, behind one contract and one API key. It also works as a drop-in, OpenAI-compatible API endpoint, so teams can integrate once and keep switching models as needs evolve.
You don’t need to rewrite your code. Use your existing OpenAI-style tooling and SDKs. You simply swap your Base URL and API key, and you’re good to go. Your workflows stay the same; your security posture just gets a massive upgrade.
You can pin your AI workloads to specific sovereign infrastructure in Switzerland, the US, the UK, or Australia. By keeping inference strictly within your chosen borders, you satisfy local jurisdictional mandates and data residency requirements.
Your AI strategy should be based on the task at hand, not which vendor you’re locked into. A single gateway endpoint lets you pick the right model for each workload. If a provider changes their pricing or a better model drops tomorrow, you can switch without rebuilding your entire integration.
We built this for teams that can’t afford to “move fast and break things” when it comes to data privacy. You’ll find the Private AI Gateway a perfect fit if you:
Ready to ship with confidence?
Get your API key and start building without compromising your data. Got questions? Reach out to our experts.

Author
Thomas Schröpfer, Go-to-Market Program Manager AI Products
Thomas Schröpfer is the Go-to-Market Program Manager AI Products at amazee.ai. A cross-functional operator with a career rooted in visual design, user experience, and product strategy, he connects product, marketing, sales, and engineering to bring enterprise AI to market, translating complex technical architectures into intuitive, valuable, and trustworthy AI experiences. He works at the intersection of AI go-to-market and AI governance, data residency, and responsible enterprise AI adoption, and holds an AI Governance credential from Saïd Business School (University of Oxford) alongside generative-AI certifications from IBM, Google, and Vanderbilt University.

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.