AI Infrastructure

AI Model Aggregator

One API in front of every major model provider, with routing, fallbacks, and unified billing — an OpenRouter you can run yourself.

40+

Models across providers

1 API

OpenAI-compatible endpoint

99.9%

Routed uptime target

All products

Policy-based routing across providers

Automatic fallback on provider outages

Unified spend + latency analytics

Overview

The AI Model Aggregator gives your applications a single OpenAI-compatible endpoint that reaches every major provider. Route by cost, latency, or capability; fail over automatically when a provider degrades; and see spend and performance across all of them in one place — without rewriting a line when you switch models.

How it works

Send requests to one endpoint and a routing policy picks the best model for the job — cheapest that meets your latency budget, most capable for a hard task, or a pinned model for reproducibility. If a provider slows or errors, traffic fails over to a healthy alternative mid-flight.

What's included

A drop-in OpenAI-compatible gateway, per-team API keys and budgets, request-level routing rules, and a dashboard that unifies cost, latency, and error rates across every provider you use.

See it in action

Book a walkthrough and we'll show it running against a stack like yours.

All products

AI Context Platform

A managed context layer that assembles, ranks, and serves the right knowledge to your models on every request.

Agent Orchestration Runtime

A runtime for multi-step agents — tool calls, state, retries, and human-in-the-loop — running reliably in production.

Vector Memory Store

A managed vector database tuned for retrieval workloads — fast, filtered, and horizontally scalable.

Prompt Evaluation Suite

Test, score, and regression-check prompts and model changes before they reach production.

Enterprise RAG Gateway

A hardened gateway that adds retrieval, guardrails, and audit logging in front of any model endpoint.