Bring your own keys
Keep direct provider billing and avoid model-call markup while RouteIQ handles the gateway layer.
RouteIQ is AI gateway infrastructure for developers, startups, and enterprises building AI-powered applications. Route across providers, track latency and usage, support MCP traffic, and scale without rebuilding your stack.
Keep direct provider billing and avoid model-call markup while RouteIQ handles the gateway layer.
Stay model-agnostic with provider routing, fallback behavior, and policies outside your app code.
Track latency, errors, usage, and agent traffic from one operational surface instead of many logs.
RouteIQ sits between your apps and model providers without taking over billing or forcing a single-vendor AI strategy.
Handle multi-LLM routing, fallback, and reliability decisions once instead of scattering them across application code.
Run chat, tool, and MCP workflows through the same gateway so teams do not need separate instrumentation for core AI traffic and agent calls.
Ship faster with LLM gateway abstraction, routing, and observability already handled.
Experiment across model vendors while keeping one AI gateway layer as your traffic grows.
Create one AI gateway policy and telemetry layer across multiple apps, environments, and teams.
Add your own LLM keys and environments.
Set routing, failover, and access behavior outside app code.
Run chat, tool, and MCP requests through one gateway endpoint.
Track usage, latency, and failure patterns as volume grows.
RouteIQ pricing covers the gateway layer: multi-LLM routing, LLM observability, policy, and scalability. Your model usage stays with the providers you already pay.
Keep direct provider economics while Teptro handles the layer above them.
Evolve providers without rewriting product logic every quarter.
See usage, latency, and failure patterns without a side project.
Treat agent workflows as first-class traffic instead of special cases.
Keep freedom to shift providers, policies, or model mix as the market changes.
Use one gateway from early launches through enterprise rollout.
Pick request volume, provider count, and governance features. Pricing adjusts live based on your AI gateway needs.
Start with the provider accounts you already have and add production routing, LLM observability, MCP support, and scale from day one.