each::labs

each::labs is an AI orchestration platform that gives you a single API endpoint to access over 600 different AI models — from image generators to video creators to language models. Instead of juggling a dozen SDKs and dealing with each provider's quirks, you write one call and each::labs handles the rest. It automatically retries when a model goes down, routes requests to the best available option, and tracks per-user costs for when finance asks. The pitch is simple: stop fighting model chaos and start shipping AI features.

Under the hood, each::labs acts as a smart router. When you send a request, it picks the best model based on your criteria (quality, latency, cost) and monitors every call in real time. If a primary model fails or degrades, the router falls back to a backup in under 120 milliseconds — often before the user notices. The platform also provides observability dashboards showing uptime, error rates, and cost breakdowns. You can set fallback chains once and trust the system to heal itself. The page shows a live demo where an error rate dropped from 3.42% (raw SDKs) to 0.04% with each::labs.

This tool is built for developers and engineering teams who are tired of maintaining brittle integrations with AI model providers. If you're building an app that relies on multiple AI models — say, generating images, then animating them, then adding voiceover — each::labs simplifies the plumbing. It's also useful for teams that need to guarantee uptime and control costs across different models. The platform includes an AI agent that answers questions about model selection and troubleshooting, and there's a library of pre-built model endpoints you can browse and use immediately.