Turn noise into signal. Understand the who, what, and why of every crash.
Uses fingerprinting algorithms to group errors by root cause, not just lines of code. Reduces 10,000 logs to 1 actionable issue.
Sorts issues by the number of affected users or VIP customers, ensuring you fix what matters to the business first.
Instantly tags errors as "New", "Recurring", or "Regressed" so you know if the latest deploy broke something.
Replay the user's session (clicks, navigation, console logs) leading up to the crash to reproduce it effortlessly.
Get notified via Slack or Teams only when error rates for a specific group spike abnormally, avoiding alert fatigue.
Automatically un-minifies JavaScript and de-obfuscates code to show you the exact original line that failed.
Tag errors with customer IDs, build versions, or region data to filter and slice your error data effectively.
Create fully populated tickets in Jira, Linear, or GitHub Issues with a single click, including stack traces and context.
Automatically detects and hides sensitive data (passwords, cc numbers) in stack traces and breadcrumbs.
Seamlessly integrates with your development workflow and tools.
JS/TS, Python, Java, Go, .NET, Ruby, PHP
Jira, Linear, GitHub Issues, Asana, Trello
Slack, Microsoft Teams, Discord, Mattermost
GitHub, GitLab, Bitbucket, Azure DevOps
React, Angular, Vue, Next.js, Django, Rails
PagerDuty, OpsGenie, VictorOps, xMatters
iOS, Android, React Native, Flutter, Unity
Segment, Amplitude, Mixpanel, Google Analytics
Jenkins, CircleCI, Travis CI, GitHub Actions
See how teams are dramatically reducing their mean time to resolution (MTTR).
MTTR -90%
Problem: Silent failures in transaction processing were affecting 0.5% of users. Solution: Agent prioritized the specific error cluster affecting VIPs, leading to a fix in 2 hours.
"We would have lost millions if the AI hadn't flagged that specific exception pattern immediately."
— VP of Engineering
Zero Noise
Problem: Devs were drowning in log noise and ignored alerts. Solution: Agent auto-assigned tickets to the right owners based on git blame and suppressed noisy non-critical warns.
"Our developers actually trust the alerts now. Productivity is up 40%."
— DevOps Lead
Stable Release
Problem: Game crashed on specific older Android devices. Solution: Agent segmented errors by device model, highlighting a GPU compatibility issue instantly.
"We fixed a bug affecting 20% of our player base before negative reviews started rolling in."
— Lead Game Dev
100% Uptime
Problem: A 3rd party payment SDK threw errors under high load. Solution: Agent detected the surge in 'Connection Reset' errors, triggering an auto-switch to a backup provider.
"The automation saved our biggest sales day of the year."
— CTO
Join engineering teams who have reduced their debugging time by 50%.