Cost Governance
Set project and API-key spend limits, assign roles, and control model access at the gateway to prevent surprise bill spikes without blocking development velocity.
Bring LLM spend under control with a platform built for AI teams running production workloads across multiple providers. FastRouter combines intelligent model routing, usage analytics, consolidated billing, spend limits, alerts, and governance in one OpenAI-compatible control plane, helping engineering, product, and finance teams reduce waste without slowing experimentation or sacrificing reliability.
Control, analyze, and optimize LLM spend across providers from one production-ready AI operations platform.
Set project and API-key spend limits, assign roles, and control model access at the gateway to prevent surprise bill spikes without blocking development velocity.
Use intelligent routing, batch processing, and automated model selection to reduce AI spend while preserving the quality and reliability production teams require.
Monitor token usage, request volume, and cost by model, provider, project, and team in one unified dashboard for clear budget accountability.
Consolidate spend across OpenAI, Anthropic, Google Gemini, xAI Grok, and other providers into one clear bill with per-team and per-project visibility.
Analyze live API requests to compare cost, quality, latency, and reliability, then receive a savings report highlighting practical optimization opportunities.
Get notified when cost, latency, errors, or usage patterns exceed thresholds, helping teams stop overspend and performance issues before they escalate.
FastRouter helps AI teams move from fragmented provider bills and reactive cost reviews to proactive LLM financial control. With one OpenAI-compatible gateway, teams can route requests intelligently, compare model economics, monitor spend in real time, and enforce limits automatically. The result is predictable AI budgeting, better accountability, and lower waste across production applications and experimentation.
See how AI teams can reduce waste, improve visibility, and standardize LLM operations at scale.
"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."
FastRouter gives AI teams the controls needed to scale LLM usage responsibly.
One OpenAI-compatible platform unifies routing, billing, observability, governance, guardrails, and evaluations.
Auto Router selects cost-efficient models per request while maintaining your required quality bar.
Spend limits, roles, and access controls are enforced centrally across applications and teams.
Dashboards, logs, alerts, and audits show exactly where LLM spend and waste occur.
Built for teams operating AI in production.
FastRouter is built for engineering, platform, product, and finance teams that need a dependable way to run LLMs in production. Rather than acting as a narrow gateway, it serves as an LLMOps control plane for routing, observability, governance, evaluations, guardrails, and cost management across more than 100 models. The platform is designed to remove the operational friction of separate provider accounts, scattered logs, inconsistent billing, and hard-coded model choices. Its vision is to help teams adopt AI faster while maintaining budget discipline, reliability, and accountability. With OpenAI-compatible access, free testing credits, and centralized controls, FastRouter gives teams a practical path from experimentation to governed production AI.
LLM cost management is the practice of tracking, governing, and optimizing spend across large language model usage. It includes monitoring token consumption, routing requests to cost-effective models, setting budget limits, consolidating billing, identifying inefficient workloads, and preventing surprise spikes. FastRouter centralizes these controls across providers so engineering and finance teams can manage AI costs from one platform.
Get practical guidance on managing AI spend across your workloads.
One gateway for routing, visibility, and control.
Works with existing OpenAI SDK implementations.
Spend limits, roles, alerts, and audit trails.
Tell us about your AI workloads, providers, and budget goals. We’ll help you identify the right controls, analytics, and routing strategy to reduce LLM costs while keeping quality and reliability intact.
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