LLM Gateway
Connect to 100+ models from major AI providers through one OpenAI-compatible endpoint, reducing integration work while supporting text, image, video, speech, embeddings, and more.
FastRouter gives engineering, product, and platform teams one OpenAI-compatible gateway for every major LLM provider. Access 100+ models across text, image, video, embeddings, and speech while adding intelligent routing, automatic failover, observability, governance, guardrails, and consolidated billing without rebuilding provider-specific integrations or hard-coding model choices.

FastRouter unifies provider access, routing, reliability, observability, governance, and billing for production AI teams.
Connect to 100+ models from major AI providers through one OpenAI-compatible endpoint, reducing integration work while supporting text, image, video, speech, embeddings, and more.
Route each request based on cost, latency, quality, or throughput priorities so applications automatically use the best available model without redeploying code.
Configure provider redundancy and prioritized fallback lists that keep AI applications running through outages, rate limits, and model errors with automatic rerouting.
Monitor latency, errors, usage, token counts, cost, and outputs across every model and provider from unified dashboards and detailed request logs.
Set project limits, API-key budgets, roles, and access controls at the gateway layer to prevent surprise spend and enforce accountable AI usage.
Consolidate usage from OpenAI, Anthropic, Gemini, Grok, and other providers into one bill with clearer team-level attribution and cost reconciliation.
FastRouter replaces fragmented AI infrastructure with one durable gateway for provider access, routing, reliability, and control. Teams can standardize on a single OpenAI-compatible integration, compare and swap models centrally, enforce usage policies, monitor every request, and consolidate spend while keeping production applications resilient across provider outages and rate limits.

See how production AI teams simplify operations, reduce risk, and control spend with FastRouter.
FastRouter helps teams operate multi-provider AI with less complexity and more control.
One OpenAI-compatible API replaces brittle integrations across every major LLM provider.
Automatic failover and redundancy protect production apps from outages and rate limits.
Budgets, roles, guardrails, and access policies apply consistently at the gateway layer.
Unified dashboards reveal cost, latency, errors, and usage across all AI workloads.
The platform team behind production-ready LLM operations.
FastRouter is built for teams that have moved beyond isolated AI experiments and now need dependable infrastructure for production workloads. The platform acts as an LLMOps control plane, bringing multi-provider model access, intelligent routing, failover, observability, experiment tracking, guardrails, cost governance, and evaluations into one OpenAI-compatible layer. Instead of forcing engineers to manage provider-specific SDKs, billing accounts, logs, and policies, FastRouter centralizes those operational responsibilities behind a stable gateway. Its vision is to help organizations choose the right model for every request, maintain reliability under real traffic, and give platform, product, finance, and security teams shared visibility into how AI is used.
An AI API gateway sits between your application and multiple model providers, giving teams one endpoint for routing, monitoring, governance, and billing. FastRouter is OpenAI-compatible, so existing OpenAI SDK code can point to the FastRouter base URL while gaining access to 100+ models across providers.
Get practical guidance on routing, governance, pricing, and rollout.
One endpoint across 100+ AI models.
Designed for failover and provider redundancy.
Built-in controls for secure AI operations.
Tell us about your current AI stack, providers, traffic patterns, and governance needs. We’ll help you evaluate FastRouter and start testing with free credits.
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