Every Error Tells a Story

Stop grepping logs. Automatically group errors by root cause, detect rising regressions instantly, and prioritize fixes based on user impact—not just noise.

100%
Context Capture
Smart
Grouping
User
Impact Score
Error Intelligence
Status: Triage Active

NullReferenceException

Critical

CheckoutService.js:42

Impact: 1,420 Users

TimeoutError

High

PaymentGateway.go:108

Impact: 850 Users

InvalidInput

Medium

LoginController.java:55

Impact: 120 Users

AI Root Cause Analysis

The NullReferenceException in Checkout is caused by a missing 'user_id' field in the payload from v2.3 frontend deploy.

Capabilities

More Than Just Stack Traces

Turn noise into signal. Understand the who, what, and why of every crash.

Smart Grouping

Uses fingerprinting algorithms to group errors by root cause, not just lines of code. Reduces 10,000 logs to 1 actionable issue.

Impact Prioritization

Sorts issues by the number of affected users or VIP customers, ensuring you fix what matters to the business first.

Trend Detection

Instantly tags errors as "New", "Recurring", or "Regressed" so you know if the latest deploy broke something.

Breadcrumbs

Replay the user's session (clicks, navigation, console logs) leading up to the crash to reproduce it effortlessly.

Smart Alerting

Get notified via Slack or Teams only when error rates for a specific group spike abnormally, avoiding alert fatigue.

Source Maps

Automatically un-minifies JavaScript and de-obfuscates code to show you the exact original line that failed.

Custom Metadata

Tag errors with customer IDs, build versions, or region data to filter and slice your error data effectively.

One-Click Jira

Create fully populated tickets in Jira, Linear, or GitHub Issues with a single click, including stack traces and context.

PII Scrubbing

Automatically detects and hides sensitive data (passwords, cc numbers) in stack traces and breadcrumbs.

Integrations

Works Where You Work

Seamlessly integrates with your development workflow and tools.

Languages

JS/TS, Python, Java, Go, .NET, Ruby, PHP

Issue Trackers

Jira, Linear, GitHub Issues, Asana, Trello

Messaging

Slack, Microsoft Teams, Discord, Mattermost

Source Control

GitHub, GitLab, Bitbucket, Azure DevOps

Frameworks

React, Angular, Vue, Next.js, Django, Rails

Alerting

PagerDuty, OpsGenie, VictorOps, xMatters

Mobile

iOS, Android, React Native, Flutter, Unity

Analytics

Segment, Amplitude, Mixpanel, Google Analytics

CI/CD

Jenkins, CircleCI, Travis CI, GitHub Actions

Success Stories

Case Studies

See how teams are dramatically reducing their mean time to resolution (MTTR).

FinTech Unicorn

Prevented Critical Failure

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

B2B SaaS

Automated Triage

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

Mobile Gaming

Device Specific Crashes

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

E-Commerce

Black Friday Rescue

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

FAQ

Frequently Asked Questions

Fix Bugs, Not Symptoms

Join engineering teams who have reduced their debugging time by 50%.

SOC2 Compliant
Real-time
Enterprise Ready