AIgateway

AIgateway

Startup Launched May 2026
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The Story

I built AIgateway to simplify access to various AI models across different labs and modalities through a single API, solving the problem of fragmented AI infrastructure and enabling seamless integration for developers.

AI Overview

AI-generated
Developers integrating AI into their applications face a significant hurdle: navigating the complex landscape of multiple AI models across various labs and modalities. AIgateway addresses this challenge by providing a unified API that grants access to a vast array of AI models, encompassing text, image, video, voice, audio, music, and embeddings.

What stands out about AIgateway is its commitment to flexibility and interoperability. The platform offers OpenAI-compatible endpoints, allowing developers to easily switch between different models without modifying their code. This is particularly valuable for applications that require testing multiple models or rotating models mid-conversation. The fact that AIgateway supports over 1000 models across 85 labs underscores its comprehensive approach to AI infrastructure.

Key features of AIgateway include its eval-driven routing, sub-account keys for end-users, and replay capabilities across any model. The platform's edge tier is optimized for performance, with a median latency overhead of 47ms. Additionally, AIgateway's caching mechanism achieves a median cache hit rate of 34% across paying accounts, further enhancing efficiency.

AIgateway offers a straightforward pricing model, with new users receiving $5 in free credits upon signup. These credits can be used to access a curated selection of edge-tier models, including Kimi K2.6, FLUX-2 Klein, Whisper Turbo, and Aura 2. The free credits expire after seven days, but top-ups never expire, providing users with flexibility to manage their usage. Overall, AIgateway simplifies the process of integrating AI into applications, making it an attractive solution for developers seeking to leverage the latest AI models without the complexity of managing multiple APIs.

Key Features

Eval-Driven Routing

allows for intelligent model selection

Sub-Account Keys

enables key management for end-users

Replay Capabilities

supports replaying interactions across models

OpenAI-Compatible Endpoints

facilitates seamless model switching

Caching Mechanism

achieves a median cache hit rate of 34%

Edge Tier

optimized for performance with 47ms median latency

Use Cases

  1. 1

    Developers

    can test multiple models without modifying code

  2. 2

    Applications Requiring Model Rotation

    can switch models mid-conversation

  3. 3

    Developers with Complex AI Needs

    can access over 1000 models across 85 labs

  4. 4

    Developers Seeking Efficiency

    can benefit from caching and optimized edge tier

FAQ

How many AI models does AIgateway support?
Over 1000 models across 85 labs
What kind of endpoints does AIgateway offer?
OpenAI-compatible endpoints
Is there a free trial or credits available?
New users receive $5 in free credits upon signup

Pricing

Freemium

New users receive $5 in free credits upon signup

Tech Stack & Tags

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