The Enterprise AI Gateway for Privacy: Introducing amazee.ai’s Private AI Gateway

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.

Introducing the amazee.ai Private API Gateway

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.

Why Your Infrastructure Needs a Private API Gateway

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.

• Private Cloud & On-Prem Flexibility: Run your gateway in your own private cloud (AWS by default, with support for Azure and GCP), on-premises, or across sovereign regions.
• No Shared Resources: By eliminating multi-tenant routing, we ensure that every deployment remains strictly aligned with national data-residency laws.
• No Data Exposure: Requests are processed by private instances in secure environments. Prompts and data never enter the provider’s shared infrastructure or cross the public cloud boundary.

Security and Compliance by Design

We know that “security” is a broad term, so we’ve backed our infrastructure with the certifications and protocols required by global enterprises.

• Enterprise Certifications: Our stack is ISO 27001 and SOC 2 Type II certified, and is GDPR- and HIPAA-compliant. We provide an audit-ready environment so you can move through internal reviews faster.
• Encryption: Data is encrypted in transit and at rest, with end-to-end encryption available on request.
• Zero Data Retention (ZDR): We offer ZDR by default. No prompts or outputs are logged; only metadata for billing and rate limiting. Your data is never used for model training by the underlying model providers or us.

At a Glance: How We Stack Up

Open Source API Gateway Flexibility with Enterprise Security

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.

Key Capabilities for Your Team

1. OpenAI-Compatible API

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.

2. True Data Sovereignty (EU, CH, US, UK, DE, AUS)

You can pin your AI workloads to specific sovereign infrastructure in Switzerland, the US, the UK, Germany, or Australia. By keeping inference strictly within your chosen borders, you satisfy local jurisdictional mandates and data residency requirements.

3. Multi-Model Flexibility

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.

Is the Private AI Gateway for You?

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:

• Work with a security-minded team shipping AI into production.
• Work in a regulated industry, such as pharma, finance, legal, or government.
• Are with an organization expanding across regions that needs consistent governance without hiring a different provider for every country.