Orbit

Feature-level AI observability platform that tracks LLM calls in production, tying each call to a product feature and customer to reveal cost, latency, and errors. It sells to engineering, product, and finance teams at companies deploying AI features, from startups to enterprises. The platform differentiates by providing per-feature and per-customer attribution, unlike vendor dashboards that only show totals, enabling accurate pricing and margin visibility.

Key features

• Per-feature cost tracking
• Per-feature latency monitoring
• Per-feature error rates
• Agentic task tracking
• Customer cost attribution
• Usage-based billing data
• Margin visibility
• Usage vs. cost correlation
• Net efficiency score
• Cost trend analysis
• Token usage tracking
• Model-wise cost breakdown
• Error logs with details
• Real-time dashboard
• Latency percentiles (P50, P95, P99)
• Environment filtering
• Date range filtering
• Cost projections