ModelRiver
Provides a unified API to connect to multiple AI models, with backend pipelines, orchestration, fallbacks, streaming, caching, sessions, spend limits, and structured outputs.
ModelRiver is an AI backend infrastructure platform that provides a single API connection to multiple AI models, solving the problem of integrating and managing various AI providers. It targets developers and IT teams in companies of all sizes, from startups to enterprises, who build AI-powered products. The platform differentiates itself by offering backend pipelines, orchestration, and control over what AI sees and does, with features like fallbacks, streaming, caching, and spend management.
Key features
- Connect to 13 AI providers
- Access 98 models
- Automatic fallback to backup providers
- Streaming responses
- Caching of AI responses
- Session management
- Spend budget guardrails
- Rate limiting
- Structured output with JSON schemas
- Request logging and debugging
- Webhooks for event notifications
- Import and export capabilities
- Integration with AI frameworks
- CLI and API access
- Ready-made templates
- X<0.1/day
GTM channels
- Blog
- Referral program
- Marketplace
- API
- Docs
- Changelog
ICP
- Software developers
- Engineering teams
- IT teams