The control layer for enterprise AI.

Aixy is the AI gateway between your applications and model providers: one API, your credentials, role-based access, hard budgets and request-level visibility.

Let’s talk Start for free

Point your OpenAI client at Aixy Quickstart

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aixy-gateway.com/v1",    api_key="gak_your_project_key",)

client.chat.completions.create(
    model="openai/gpt-4.1-mini",
    messages=[...],
)

ActivityExample

Allowed billing-assistant openai/gpt-4.1-mini
Blocked support-bot Monthly budget reached

Tokens routed: — Retained usage · last 7 days
Supported providers: 160+
Gateway overhead: 0.476ms Measured p99 · JSON · c=1
Regional infrastructure: Frankfurt AWS Europe · eu-central-1

One gateway for models and tools.

Applications reach model providers through the LLM gateway. AI clients reach agent tools through a separate MCP endpoint.

Explore the architecture

Internal toolsAI applicationsAgents

AccessConnectionsPoliciesVisibility

Model providersModel routing & budgets

Agent toolsTool access · MCP endpoint

Core capabilities.

Unified API

Connect models and providers through OpenAI- and Anthropic-compatible APIs.

Intelligent routing

Route each request by task with decision models and criteria you define.

Built-in resilience

Keep requests moving with bounded retries, fallbacks and circuit breakers.

Cost optimization

Optimize spend with task-aware model selection and provider prompt caching.

Budget control

Set spending limits across your organization, projects, teams, users and keys.

Managed & optimized MCPs

Centralize authentication and tool access, with on-demand discovery that keeps context compact.

Bring your own providers.

19 native integrations · 148 compatible providers

Explore all 167 providers

Native integrations are maintained by Aixy. Compatible providers connect through their OpenAI-compatible endpoints. Catalog snapshot: 26 August 2026.

Enterprise-grade security and controls

Explore security & trust

Zero data retention.

We don’t retain your organization’s prompts or responses by default.

Enterprise agreements.

DPAs and tailored data security terms.

Frankfurt core region.

Core infrastructure hosted in Frankfurt, Germany.

View documentation

GDPR.

Data protection and privacy rights.

View documentation

EU AI Act.

AI governance and transparency controls.

In practice

See Aixy in action.

Benchmarks

Gateway overhead,
side by side.

Less latency between your applications and AI.

Gateway overhead

Measured added p99 · Lower is better

Added latency at p99Milliseconds · Lower is better

Aixy 0.476 ms
Bifrost 2.149 ms Aixy −77.84%
Portkey OSS 7.417 ms Aixy −93.58%
LiteLLM (Python) 15.551 ms Aixy −96.94%

Explore the benchmark

Controlled Linux benchmark · JSON.

Inside Aixy

From the engineering blog

Explore the blog

Product

Decision models on Aixy: from probabilities to application actions

An AI assistant needs to decide when to answer, search or ask for review. Learn how Jev, Clef and GLiDE differ, why confidence thresholds do not transfer automatically, and how to evaluate a decision workflow through Aixy.

Óscar Caballero 19 Oct 2026 5 min read

MCP

When MCP tools fill the context before the work begins

Growing MCP catalogs consume model context before work begins. We examine discovery, encoding and the measurements from our experiments, including what they leave unresolved.

Óscar Caballero 7 Oct 2026 7 min read