Intelligent, Data-Backed LLM Routing

The Challenge: Managing LLM model churn, production breakages during switches, and runaway costs are critical risks for companies with AI pipelines. Currently, routing decisions are often unstructured, leading to quality regressions, latency spikes, and fragmented cost management at scale.

The Solution: Data-backed LLM routing built on your own traffic, optimised for your custom evals, with versioned policies, full audit trail, and unified billing across providers.

Core Capabilities

• 📈 Data-Backed Decisions: Simulate new models on your actual production traffic and use custom evals to verify quality parity before switching.

• 🚀 Architecture: Designed for reliability with a "no network hop" approach (minimal latency overhead) and support for A/B testing and orchestrated, scaled rollouts.

• 🕹️ Control Plane: Versioned routing policies and monitoring to track shifts in traffic semantics over time.

• 💸 Operations: Unified billing across all providers and a transparent layer for cost/performance optimization

See it in action: OptRouter Demo Video

Get in touch: We are currently doing pilots. Reach out to us at [email protected] to discuss your specific use case or schedule a call: https://calendly.com/founders-optrouter/30min.