Unified Gateway
Unify AI traffic behind one OpenAI-compatible gateway, giving teams access to 100+ models while centralizing routing, governance, observability, and provider management.
Protect production AI traffic with a unified API gateway that centralizes access control, guardrails, logging, routing, and failover across 100+ models. FastRouter helps platform and engineering teams secure model endpoints without rebuilding provider-specific integrations, making it easier to govern usage, reduce risk, and keep AI applications reliable as adoption scales.

Secure, route, monitor, and govern production AI traffic through one OpenAI-compatible gateway.
Unify AI traffic behind one OpenAI-compatible gateway, giving teams access to 100+ models while centralizing routing, governance, observability, and provider management.
Enforce project limits, API-key controls, member roles, and model access policies at the gateway layer to keep AI usage secure and accountable.
Validate prompts and responses for safety, compliance, policy violations, and structured output consistency before model results reach users or downstream systems.
Capture request and response logs with provider, model, latency, token usage, cost, and outcomes for debugging, audits, and production visibility.
Route requests by cost, latency, throughput, or quality priorities while keeping model selection centralized and flexible across providers.
Configure fallback lists and multi-provider redundancy so AI applications stay responsive during provider outages, rate limits, or model failures.

Connect applications to FastRouter’s OpenAI-compatible endpoint, replacing brittle provider-specific access with one stable gateway layer. This creates a central place to manage model traffic, policies, and provider choices without scattering security logic across every codebase.
See how teams simplify secure, reliable AI operations with one gateway control plane.
FastRouter helps teams secure and operate AI endpoints without slowing development.
FastRouter combines routing, observability, governance, guardrails, evaluations, and billing in one platform.
Project, API-key, role, and model access controls are enforced consistently at the gateway.
Automatic failover, fallback lists, and multi-provider redundancy reduce outage and rate-limit risk.
Usage analytics, alerts, and spend limits help prevent surprise AI bill spikes.
A platform built for secure production AI operations.
FastRouter is built for engineering, platform, product, and ML teams running AI in production across multiple providers. Rather than treating an LLM gateway as a thin proxy, FastRouter positions itself as an LLMOps control plane: one OpenAI-compatible layer for routing, governance, observability, evaluations, guardrails, and cost control. The platform is designed for teams that need to move quickly without losing oversight as AI adoption spreads across products, agents, internal tools, and high-volume workloads. Its vision is to make secure, reliable, multi-provider AI infrastructure easier to operate, so organizations can standardize access to 100+ models while preserving flexibility, resilience, and accountability.
FastRouter secures AI model endpoints by placing governance, access controls, guardrails, logging, routing, and failover at the gateway layer. Instead of enforcing policies separately inside every application, teams can apply consistent controls across OpenAI, Anthropic, Gemini, Grok, Claude, and other providers through one OpenAI-compatible endpoint.
Get guidance on securing, routing, and governing your AI traffic.
Works with existing OpenAI SDK integrations.
Access major providers through one gateway.
Controls enforced centrally for every request.
Tell us about your AI stack, providers, governance needs, and production requirements so we can help you evaluate FastRouter quickly.
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