Eden AI

Overview

Eden AI is a comprehensive AI API platform that gives developers and companies seamless access to multiple artificial intelligence models through a single unified API. By aggregating a broad ecosystem of AI providers — including OpenAI, Mistral, Gemini, Claude, and dozens of specialized vendors — it removes the complexity of integrating, managing, and monitoring separate endpoints. With one authentication scheme, one billing relationship, and standardized requests and responses, engineering teams can focus on building features instead of maintaining AI infrastructure. The platform also includes a dedicated Chat API for conversational use cases and supports integration with popular frameworks and automation platforms, making it easy to embed AI into existing workflows.

Eden AI goes beyond generic large language models. It exposes a wide range of AI capabilities through a consistent interface: LLMs, OCR, speech-to-text, text-to-speech, translation, vision, document parsing, and more. A central catalog lets users browse every available AI model, explore by provider, task, price, and performance, and compare providers side by side. This makes it easy to identify the best-fit model for each job — whether that means using a specialized OCR engine for document extraction or a strong multilingual LLM for customer support. Because requests and responses are standardized across all providers, switching models does not require rewriting application code.

Eden AI is engineered for production workloads that demand robustness, security, and compliance. It is designed with Zero Data Retention (ZDR), is SOC 2 and ISO 27001 certified, and is GDPR-ready. For organizations with strict data residency requirements, a dedicated EU endpoint routes requests through European infrastructure. The platform also provides advanced routing and fallback mechanisms: if a primary provider fails, hits rate limits, or becomes unavailable, traffic automatically shifts to a fallback model, ensuring high availability and resilience. These capabilities help organizations maintain secure data routing while meeting performance and legal obligations.

Trusted by over 200,000 developers and offering access to more than 500 AI models with 99.99% uptime, Eden AI is built for companies running AI in production. It reduces time-to-market by requiring only one integration, lowers total cost through model-level optimization and vendor flexibility, and mitigates risk through built-in redundancy and compliance-ready infrastructure. Whether you are prototyping a new AI feature, scaling a product, or consolidating multiple AI vendors across an enterprise, Eden AI provides the abstraction, control, and reliability needed to move forward confidently.

Core capabilities

Unified API Access

Use one API to access leading AI models from OpenAI, Mistral, Gemini, Claude, and dozens of specialized providers.

Standardized Integration

Requests, responses, authentication, billing, and monitoring are standardized across all providers to reduce engineering overhead.

Multi-Model Routing

Dynamically route requests to the best model and automatically fallback to an alternative provider when a primary provider fails or reaches limits.

Broad AI Capabilities

Supports LLMs, OCR, speech-to-text, text-to-speech, translation, vision, document parsing, and more through a single interface.

Model Comparison

Compare providers and models by price, performance, and processing region to make data-driven selection decisions.

EU Endpoint

Route requests through EU-based infrastructure when European data residency is a priority.

Compliance & Security

Zero Data Retention (ZDR), SOC 2 and ISO 27001 certifications, and GDPR-ready data handling practices.

Cost Optimization

Choose the most efficient model per task, avoid vendor lock-in, and adapt quickly to pricing or performance changes.

Use cases

Accessing multiple LLMs (OpenAI, Mistral, Gemini, Claude) through one API

Building OCR pipelines for document extraction and parsing

Implementing speech-to-text and text-to-speech in multilingual products

Adding translation and vision capabilities to applications

Routing AI requests to EU-based endpoints for data residency compliance

Ensuring high availability with automatic fallback during provider outages

Controlling costs by selecting the most cost-effective model per task