Live Demo Available
🎉 Pre-Release — Currently FREE

Fix Production Incidents From Your Phone

|

0min Avg Resolution Time
📉
0% Faster MTTR
📱
0/7 Mobile Access
🔒
0% Local Processing
🚨 Critical Alert
🤖 AI Analyzing...
Fix Deployed!
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☁️ AWS
🐙 GitHub
📟 PagerDuty
📊 Datadog
🔷 Kubernetes
🐳 Docker
How It Works

From Alert to Resolution in Under 2 Minutes

See how CollAI transforms incident response

1
🚨

Alert Triggered

PagerDuty, CloudWatch, or any monitoring tool sends an alert. You get a push notification instantly.

0:00
2
🤖

AI Analyzes

Local AI instantly analyzes logs, metrics, recent deployments, and correlates data to find root cause.

0:15
3
💡

Solution Proposed

AI proposes a fix — rollback, restart, scale up, or custom remediation — with full explanation.

0:45
4
👆

One-Tap Approval

Review the proposed action and approve with a single tap. Human always stays in control.

1:00
5

Incident Resolved

Fix deployed automatically. Service recovers. Full incident report generated for post-mortem.

1:52
Features

Everything You Need to Fix Fast

Traditional monitoring tools show you the problem. CollAI fixes it.

AI Analysis
// AI analyzing incident...
const analysis = await ai.analyze({
  service: "api-gateway",
  metrics: systemMetrics,
  logs: recentLogs,
  deployments: gitHistory
});

// Root cause identified
analysis.rootCause = "Memory leak in v4.2.0";
analysis.confidence = 0.94;
analysis.suggestedFix = "revert_commit";

AI-Powered Root Cause Analysis

Our local AI model correlates logs, metrics, and deployment history to identify the exact cause of incidents in seconds — not hours of manual investigation.

  • Automatic log correlation
  • Deployment impact analysis
  • Pattern recognition from past incidents

Mobile-First Design

Purpose-built for mobile. Fix production issues from anywhere — the coffee shop, your commute, or 3 AM from bed.

No laptop needed

One-Tap Deployment

Review AI-proposed fixes with full context and deploy with a single tap. Rollbacks, restarts, and scaling made simple.

Human in the loop

100% Local AI

All AI processing happens locally. Your code, logs, and secrets never leave your infrastructure. Enterprise-grade security.

Zero data exposure

2-Minute MTTR

Average resolution time under 2 minutes. Thats 10x faster than traditional incident response workflows.

90% faster

Deep Integrations

Works with your existing stack — GitHub, PagerDuty, AWS, GCP, Datadog, Kubernetes, and more.

Plug and play

Natural Language

Chat with AI about the incident. Ask questions, request alternative solutions, or get explanations in plain English.

Conversational
Why CollAI?

The Night and Day Difference

See why engineers are switching to CollAI

☁️

Traditional Tools

Desktop Required
📱 Get alert at 3 AM 0:00
💻 Find laptop, boot up +5 min
🔍 Open 5 different tools +3 min
🤔 Manually investigate +10 min
⌨️ Write fix, deploy +5 min
Total Time: 23+ minutes
😫
VS

CollAI

Mobile-First AI
📱 Get alert at 3 AM 0:00
🤖 AI analyzes instantly +15 sec
💡 Root cause + fix shown +30 sec
👆 One tap to approve +5 sec
Fixed! Back to sleep +1 min
Total Time: ~2 minutes
😴
See It In Action

Watch CollAI Resolve a Real Incident

From critical alert to fix deployed in under 2 minutes

Interactive Demo

Experience CollAI Right Now

Click start to simulate a production incident

Simulated Incident Response

Watch how CollAI handles a real-world production outage — from alert to resolution.

Idle
Alert
Analyzing
Fix Ready
Resolved
Limited Time

Pre-Release: Completely Free

Get early access while we are in beta

🎉 PRE-RELEASE

Early Access

$99 $ 0 /month

Free during pre-release - No credit card required

  • Full AI-powered incident response
  • Unlimited incidents
  • iOS and Android mobile apps
  • GitHub, PagerDuty, AWS integrations
  • 100% local AI processing
  • Priority email support
  • Early access to new features
Request Early Access
"
Finally, I can fix production without getting out of bed. CollAI is what on-call should have always been.
👨‍💻
Every On-Call Engineer At 3 AM
Get In Touch

Lets Talk

Have questions? Want early access? We would love to hear from you.

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