$0 million dollars.

That's what the average enterprise pays per year just to look at their logs.

Kill the Dashboard.

AI-Powered Log Anomaly Detection

THE PROBLEM

Your customers find bugs
before your team does.

😡

Customer

"We're getting 500 errors!"

9:14 AM — support ticket filed

while

😴

Your On-Call

No alerts triggered

Dashboard says "all green"

PRODUCTION MELTDOWN

💥 Uncaught
Exception

→

🔥 Full
Outage

→

⏪ Emergency
Revert

→

🚨 3,400 Users
Disrupted

ERROR RuntimeException: NullPointerException at OrderService.java:142 FATAL Cascade detected — 12 downstream services affected

🚨 P0 — ALL HANDS 🚨

Saturday, 2:47 AM

@sarah Customer escalated to VP of Eng 😰

@jake Reverting to v2.3.1... fingers crossed 🤞

@mike I've been digging for 4 hours — still can't find root cause 😩

@ops-bot PagerDuty: 47 alerts suppressed. MTTR: 6h 23m and counting.

@cto I need a postmortem by Monday. What happened?

Entire weekend gone. Still don't know what went wrong.

0 of SREs report
on-call burnout

0 of alerts are
simply ignored

0 average incident
resolution time

"The observability industry collects and displays.
The actual observing? That's still a human at 3 AM."

LogClaw watches for you.

Detects anomalies → Explains root causes → Creates tickets

From raw logs to root-cause incident ticket in under 60 seconds.

Watch it work →

🤖

Bring Your Own LLM

Claude, GPT-4, Ollama, or vLLM
Your API key, your data
LLM-generated root cause + impact assessment
Suggested fix with steps to reproduce

📡

OpenTelemetry Native

OTLP as the sole ingestion interface
Drag & drop log files, paste JSON, or use OTel collector
No proprietary agents — no vendor lock-in
48.5% of enterprises already using OTel

🔗

Route to Your Team

Jira Slack PagerDuty ServiceNow OpsGenie Zammad

Auto-triage by severity. One click to escalate.

Open Source · Apache 2.0

docker compose up -d

app.logclaw.ai · docs.logclaw.ai · github.com/logclaw

Built by Robel Tegegne · ex-Apple Software Engineer