Pulse monitors your mobile app's performance in real time and uses AI to detect anomalies before they become outages. For teams who care about quality.
TensorFlow models trained on 10M+ crash signatures detect performance regressions before your users notice. Alerts in under 2ms.
Frame rate, memory pressure, CPU usage, battery drain, app start time, and network latency — all streamed live, segmented by device and OS.
Symbolicated crash reports with full stack traces, user journey replay, and device context. Group by root cause, not just error message.
Privacy-safe screen recordings of crash sessions. See exactly what the user did. Automatically attached to every crash report.
Context-aware alerts that learn your app's normal behavior. No alert fatigue — only signal when something genuinely unusual happens.
One line to add in your app. Auto-instruments React Native, Swift, and Kotlin code paths. No manual instrumentation required.
Pulse's ML models continuously baseline your app's behavior and fire alerts the moment something deviates — catching bugs before your users encounter them.
See it in action →P99 latency on checkout_complete jumped from 280ms → 1.2s. Affects 12% of Android users on API 33+. Likely correlated with v4.2.1 release.
ProfileFragment not releasing bitmap cache on back navigation. Memory grows 3.2MB per view cycle. Fix suggested in attached PR diff.
Cold start time returned to baseline (1.2s) after hotfix deploy. Anomaly duration: 43 minutes. No user-visible errors reported.
Pulse is currently in private beta. Join the waitlist and we'll give you early access as soon as a spot opens — free for the first 90 days.