Building with LLMs is easy. Keeping them fast, accurate, and cost-effective in production? That’s the real challenge.

Trace gives product and engineering teams total visibility into their AI ecosystem, bringing telemetry, prompt performance, and cost tracking into a single, real-time control center.

As AI features scale, traditional analytics fail. Teams struggle to track hallucination spikes, latent API calls, token usage costs, and failing guardrails, often relying on fragmented logs that slow down debugging.

Real-Time Telemetry at a Glance: Instant exposure to critical metrics like Hallucination Rates, Response Times, and AI Health Scores before they impact end users.

Granular Prompt & Model Analytics: Deep-dive breakdowns into prompt latency, token costs, and model distribution to optimize model routing and spend.

Live Event Diagnostics: Real-time log feeds highlighting tool usage, guardrail verifications, and latency anomalies for frictionless debugging.