Pre-production intelligence

Your staging environment
deserves real observability

AI-powered cohort analysis for staging metrics. Know which deploys are healthy, which teams ship cleanly, and which features break things before they ever hit production.

Capabilities

Staging-first observability built for teams that ship fast

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Cohort Comparison

Group metrics by deploy, feature branch, or team. Compare cohorts side-by-side. Know instantly if this deploy is healthier than the last five.

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AI Anomaly Detection

Staging is noisy by nature. Our AI learns what "staging normal" looks like and only alerts you when something is actually broken.

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Team Health Overlay

Connect staging stability back to team output. See which team's deploys cause instability. Turn staging from a black box into a feedback loop.

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OpenTelemetry Native

Drop in via OTLP. No proprietary agents, no SDK lock-in. Send your staging traces and metrics the same way you send production data.

The shift

Stop treating staging like a dev playground

Without PreProdScope

  • Staging breaks silently for hours
  • No one knows whose deploy caused it
  • Same Datadog setup as production (expensive, noisy)
  • Bugs surface in production, traced back to staging
  • Teams blame each other for instability

With PreProdScope

  • AI catches staging anomalies in real-time
  • Cohort analysis attributes issues to specific deploys
  • Purpose-built for staging noise and patterns
  • Catch regressions before they reach production
  • Team health dashboards create accountability

Production bugs are staging bugs that nobody caught.

PreProdScope is the observability layer that treats your staging environment like it matters. Because every production incident started as a staging anomaly someone ignored.