AI / LLM Gateway

Eden AI complements the AWS AI ecosystem and Amazon Bedrock by giving AWS customers a unified AI gateway to access, compare, and orchestrate a broader range of AI models and specialized AI providers through one secure API. Eden AI is therefore positioned as an alternative to OpenRouter, LiteLLM, and Portkey.

With Eden AI available on AWS Marketplace, customers can keep procurement and billing inside AWS while extending their AI stack beyond the native Bedrock catalog, especially for models, providers, regions, modalities, or pricing options not always available through Bedrock.

Useful links:

• Eden AI:  https://www.edenai.co 

• AI features: https://www.edenai.co/feature 

• Models and providers: https://app.edenai.run/models 

• Pricing: https://www.edenai.co/pricing 

• Security: https://www.edenai.co/security 

• EU endpoint: https://www.edenai.co/eu 

Examples of models and capabilities accessible through Eden AI and not always natively available through Bedrock include:

• Google Gemini models and Google AI capabilities

• Perplexity Sonar models for search-augmented AI

• xAI / Grok models where available

• Specialized OCR, document parsing, invoice parsing, speech-to-text, text-to-speech, translation, moderation, embeddings, image analysis, and computer vision providers

• Expert models optimized for specific AI tasks beyond generic LLM usage

Eden AI is not a replacement for Amazon Bedrock. It is a complementary AI gateway for AWS customers that want to use AWS and Bedrock where they fit best, while keeping the freedom to access additional models, providers, and specialized AI APIs through the same unified interface.

Instead of integrating every AI provider separately, developers connect once to Eden AI and access multiple models and AI APIs through a single interface.

This helps teams reduce engineering time, avoid maintaining multiple API formats, test new models without rewriting code, switch providers faster, and add new AI features more easily.

Not every use case requires the most expensive model. Eden AI helps teams compare and route providers based on price, latency, quality, availability, region, modality, and task type.

This allows companies to optimize AI costs while keeping the right level of performance for each use case.

AI providers can change pricing, availability, rate limits, latency, model performance, or terms over time.

Eden AI helps companies avoid vendor lock-in, maintain fallback options, and stay flexible as the AI market evolves.

Eden AI provides access to both general-purpose LLMs and specialized expert models.

Teams can use LLMs for chat, reasoning, summarization, extraction, classification, content generation, and agentic workflows, while also using expert models for OCR, invoice parsing, document parsing, resume parsing, transcription, translation, moderation, embeddings, and image analysis.

Eden AI helps improve reliability and performance with fallback and smart routing capabilities.

Teams can route requests across providers based on cost, latency, quality, availability, region, provider preference, or business rules. If a provider is unavailable, too slow, too expensive, or returns an error, Eden AI can redirect requests to another provider.

Eden AI gives organizations more control over AI usage across teams.

Companies can monitor usage, manage API keys, control provider access, and track consumption by team, project, or use case. This helps improve governance, cost control, security, and centralized AI management.

Eden AI offers two ways to get started, with details available on the pricing page: https://www.edenai.co/pricing  .

• The self-service offer is designed for developers and teams that want to quickly access multiple AI models and providers through one unified API, test use cases, monitor usage, and control costs.

• The advanced offer is designed for companies with higher security, governance, support, and customization needs, including advanced team management, provider control, custom routing, dedicated support, and business-critical AI workloads.