AI Gateway for LLM Workload Optimization

FastRouter helps engineering teams optimize LLM workloads through one OpenAI-compatible AI gateway. Route requests across 100+ models, reduce avoidable spend, improve uptime with automatic failover, and monitor quality, latency, and usage from a unified control plane. Build production AI without hard-coding providers, stitching together dashboards, or losing control of costs and governance.

AI gateway dashboard for LLM workload optimization

Our AI Gateway Services

Optimize LLM performance, reliability, cost, and governance through FastRouter’s unified AI gateway capabilities.

Model Routing

Route each request to the best available model based on cost, latency, quality, or throughput priorities across 100+ models and major providers.

Cost Optimization

Reduce AI spend with intelligent routing, automated model selection, batch processing, and controls that prevent unnecessary premium-model usage across teams.

Fallback Redundancy

Keep applications running through provider outages, rate-limit errors, and model failures using prioritized fallback lists and multi-provider redundancy.

Observability Insights

Monitor latency, costs, errors, logs, request activity, and quality trends across every model and provider from unified dashboards.

Governance Controls

Apply API-key limits, project budgets, roles, and access controls centrally so AI usage stays accountable across applications and teams.

Evaluations

Score, compare, and validate model outputs over time to choose the right model and catch production quality drift early.

Unified Control Plane

Optimize Every LLM Request Centrally

FastRouter gives teams a durable foundation for running AI in production. Instead of wiring applications to individual providers, every request flows through one gateway that can route, monitor, govern, and optimize workloads automatically. The result is lower operational overhead, better uptime, clearer cost accountability, and faster access to new models without repeated integration work.

AI gateway dashboard optimizing LLM workloads
Built For Production

Optimization Outcomes

See how production AI teams can simplify operations, reduce risk, and optimize every model call.

"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."

Sainath Gupta
Sainath Gupta

"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."

Vineet Kumar
Vineet Kumar
FastRouter Difference

Why Choose FastRouter?

FastRouter helps teams operate multi-provider AI with reliability, visibility, and control.

Unified API

Access OpenAI, Anthropic, Gemini, Grok, Claude, and more through one compatible API.

Smart Routing

Automatically route requests for cost, latency, quality, or throughput without repeated code changes.

Production Reliability

Use failover, redundancy, and fallback lists to reduce outage and rate-limit disruption.

Built-In Governance

Control spend, roles, logs, alerts, and evaluations centrally across teams and applications.

Meet The FastRouter Platform

A unified platform team for production LLM operations.

FastRouter is built for teams that need more than basic model access. Its vision is to serve as the operational foundation for production AI, unifying routing, observability, experiments, guardrails, governance, billing, and evaluations across a rapidly changing model ecosystem. Instead of forcing engineering teams to manage brittle provider-specific integrations, FastRouter creates one OpenAI-compatible control plane where policies, costs, logs, and quality checks are applied consistently. The platform is especially valuable for teams running multi-provider AI applications, agentic workflows, multimodal products, and high-volume inference where reliability, spend visibility, and model flexibility directly affect user experience and operating margin.

100+ ModelsAccess major text, image, video, speech, embedding, and multimodal models.
One APIUse a single OpenAI-compatible integration instead of separate provider implementations.
24/7 ReliabilitySupport always-on production workloads with failover and multi-provider redundancy.

Frequently Asked Questions

What is an AI gateway for LLM workloads?

An AI gateway is a control layer between your application and multiple AI model providers. Instead of integrating each provider separately, your app calls one API while the gateway handles routing, failover, governance, logging, and billing. FastRouter uses this approach to give teams access to 100+ models through a single OpenAI-compatible interface.

How does FastRouter optimize LLM workloads?

Can I use FastRouter with my existing OpenAI SDK code?

How does intelligent model routing reduce AI costs?

What happens if an LLM provider goes down?

How can teams monitor LLM performance and quality?

How does FastRouter help control LLM budgets and access?

Can I test FastRouter before using it in production?

Still Have LLM Gateway Questions?

Get practical answers about routing, costs, reliability, and rollout planning.

Trusted Infrastructure

Awards and Recognition

OpenAI-compatible API trust badge

OpenAI-Compatible API

One integration supports multi-model production access.

Multi-provider control trust badge

Multi-Provider Control

Centralized operations across models, teams, and providers.

Production LLMOps trust badge

Production LLMOps

Built for reliable, governed production AI workloads.

Start Optimizing Your LLM Workloads

Tell us about your current LLM stack, traffic patterns, and optimization goals. FastRouter can help you evaluate routing, reliability, cost controls, and observability through one gateway.

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