Orbit AI – Feature-level AI observability using real runtime data

Summary: Orbit AI provides detailed observability of AI behavior within products by linking AI usage metrics directly to product features. It captures real runtime data to track cost, latency, errors, and usage at the feature level, enabling teams to monitor AI performance beyond vendor dashboards.

What it does

Orbit uses SDK-based instrumentation to collect AI metrics from application code, offering feature-level visibility into cost, latency, error rates, and usage across environments and models. It relies on actual production data rather than estimates or sampling.

Who it's for

Teams running AI-powered features in production who need detailed insights into AI behavior tied to specific product features.

Why it matters

It addresses the lack of feature-level visibility in existing tools, helping teams understand AI cost, performance, and reliability within their products.