What is Eden AI?

Eden AI provides a single API endpoint that consolidates access to large language models, vision, OCR, speech‑to‑text, text‑to‑speech, translation, and other specialized AI services from multiple providers such as Meta, Mistral, AWS, Azure, Google Cloud, and OpenAI.

The platform offers smart routing and fallback mechanisms, allowing developers to define custom routing rules or let Eden AI automatically switch models on failure to maintain high availability. Users can select models by cost, latency, or execution region, giving fine‑grained control over performance and expenses.

The API supports batch processing, caching, and multi‑API key management, simplifying operations for teams that need to scale AI usage across products or services. It is designed for developers building SaaS, internal tools, or customer‑facing automations who require reliable, transparent access to a wide range of AI capabilities without managing multiple provider APIs.

Eden AI on the web:

Eden AI details

Company: Eden AI
Jurisdiction: France
Built for: Businesses and teams
Data residency: EU
Stated compliance: SOC 2, GDPR, ISO 27001

Compliance as stated in Eden AI's own published documentation.

Eden AI tech specs

Works with: OpenAI / GPT Anthropic / Claude Google / Gemini Mistral
Cloud: Azure
Integrations: Make (Integromat)

Eden AI pricing

Subscription

Starter $0

Personal $41/mo

Professional $166/mo

Premium $499/mo

Verify on the official pricing page.

View plans

Eden AI's key features

One API for all models
Smart routing with fallback
Cost and region selection
Unified LLM and specialist models
Transparent model updates
Multi-API key management

Eden AI use cases

Seamlessly power a multilingual customer support chatbot that routes queries to the most cost‑efficient LLM while automatically translating user inputs and responses in real‑time.
Implement batch document OCR and image classification for a legal firm, using Eden AI’s smart routing to select the fastest model per request and caching results to reduce latency and costs.
Create a voice‑activated virtual assistant for a logistics platform that combines speech‑to‑text, language translation, and contextual LLM responses, all managed through a single API with fallback to alternative providers when a primary model is unavailable.