Orchestrate AI Models
with Smart Routing
Unify and orchestrate multiple foundation models and internal microservices with intelligent routing strategies. Build resilient AI applications with seamless failover, load balancing, and cost optimization.
Everything you need to orchestrate AI
Build production-ready AI applications with enterprise-grade reliability and performance.
Smart Routing
Intelligent request routing based on model capabilities, cost, and performance metrics.
Auto Failover
Automatic failover to backup models when primary services are unavailable or degraded.
Load Balancing
Distribute requests across multiple model providers to optimize throughput and cost.
Rate Limiting
Built-in rate limiting and quota management to prevent API overuse and control costs.
Multi-Provider
Support for OpenAI, Anthropic, Google, AWS, Azure, and your internal services.
Simple Integration
Drop-in replacement for existing AI SDKs with minimal code changes required.
How ModelMesh Works
A unified gateway that sits between your application and AI providers.
Your Application
Send requests through a unified API endpoint, regardless of the underlying model provider.
ModelMesh Router
Intelligent routing engine analyzes request and selects optimal model based on your strategies.
Model Providers
Request is forwarded to the selected provider with automatic retry and fallback handling.
// Simple integration with ModelMesh
import { ModelMesh } from '@modelmesh/sdk'
const mesh = new ModelMesh({
apiKey: process.env.MODELMESH_API_KEY
})
const response = await mesh.chat.completions.create({
messages: [{ role: 'user', content: 'Hello!' }],
// ModelMesh automatically routes to optimal model
strategy: 'cost-optimized'
})Built for Modern AI Teams
From startups to enterprises, ModelMesh powers AI applications at scale.
Production AI Applications
Build reliable AI features with automatic failover and load balancing across multiple model providers.
Cost Optimization
Route requests to the most cost-effective models while maintaining quality standards and SLA requirements.
A/B Testing
Easily compare different models and providers with built-in traffic splitting and performance metrics.
Hybrid Deployments
Seamlessly integrate cloud-based foundation models with your internal fine-tuned models and services.
Ready to get started?
Join thousands of developers building the next generation of AI applications.