A unified gateway to every AI model. One endpoint, full visibility, your infrastructure.
Route every request through a single, OpenAI-compatible endpoint. MervaloAI connects to multiple AI providers and routes your requests to the model that fits. Switch providers without changing code. Add new models without redeploying.
Every request, every token, every cost — visible in one dashboard. Monitor usage across teams and models. Set spending limits. Manage API keys. The dashboard is the control surface for your entire AI infrastructure.
When one provider is slow or unavailable, traffic routes to another. Load balancing distributes requests across channels. The gateway adapts to conditions in real time, so your application stays responsive regardless of what happens upstream.
MervaloAI speaks the OpenAI API format natively. If your application already uses the OpenAI SDK, it works without modification. No vendor lock-in. No proprietary format. One standard, everywhere.
POST /v1/chat/completions If your application already uses the OpenAI SDK, switching is one line.
# Before: pointing directly at OpenAI
client = OpenAI(api_key="sk-...")
# After: same SDK, same code, different base URL
client = OpenAI(
api_key="your-mervaloai-key",
base_url="https://api.mervalo.com/v1"
)Infrastructure should be invisible. If you are thinking about the gateway, the gateway has failed.
MervaloAI routes your requests, balances your load, monitors your costs, and manages your keys. You build the application. The gateway handles the rest — silently, reliably, without asking for attention.
One API key. One endpoint. Every model. Your team writes code against a single interface and the gateway handles routing, retries, and failover. No one on your team needs to know which provider serves which model.
When a provider raises prices or goes down, MervaloAI routes traffic elsewhere. Set primary and fallback channels. Define cost thresholds. The gateway optimizes for uptime and budget without you intervening.
The dashboard shows real-time usage across every channel, every model, every team member. Export data for analysis. Set alerts for anomalies. The visibility you need to run AI infrastructure responsibly.
Create API keys with scoped permissions. Set per-user rate limits. Define which models are available to which teams. The gateway enforces your policies at the infrastructure level, not the application level.
Claude 
ChatGPT 
Gemini 
DeepSeek 
Minimax 
Xiaomi Mimo