Products/Incident Management / AIOps / DevOps/Vibranium Labs

Vibranium Labs

The last pager you'll ever need

Incident Management / AIOps / DevOpsSeedRaised $4.6Maiincident-managementon-callpagerReviewed
Vibranium Labs

Our Take

Vibranium Labs built the AI pager that investigates incidents before it wakes you up. Here's the problem: on-call engineers get pinged at 3am for stuff that could've waited until morning—not every alert is a fire, but someone still has to check. Vibranium's AI does that investigation first. It triages, analyzes, correlates, and only screams when it's actually real. No more wakeups for duplicate alerts or transient blips that fix themselves.

This is clearly early. No founder names, no funding, no headcount, no revenue numbers yet. But the insight is solid—every dev who's done on-call knows the pain of the boy who cried wolf. Someone finally said "let's not reward that behavior with sleep deprivation."

They're building for the on-call crowd: SREs, platform engineers, anyone who's ever gotten paged at midnight for something that turned out to be nothing. If you're running ops and you're tired, give them a look.

AI-native paging and incident response platform that uses AI agents to detect, triage, and resolve incidents autonomously before Tier 1 engineers are woken up

Key Features
Detection and Routing - Alert the right people instantly with context attached, Triage - AI agents investigate logs, surface root cause, and pull the right runbook, Auto-Remediation - Detects known failure patterns and executes remediations autonomously with human approval gates, Knowledge and Post-Mortems - Automatically captures and structures incidents to knowledge base, AI SRE - Always-on agents for faster resolution, Incident Operations - Unified platform to run response from one place, Paging + OnCall - AI-native paging with intelligent routing, Integrations - Connect with existing tools
Problem It Solves
Alert fatigue from 3 AM wake-ups, expensive PagerDuty contracts ($200K+ annually), slow incident resolution, unnecessary context-switching and tool sprawl
Target Customer
On-call engineers, SREs, DevOps teams, and IT operations teams responsible for system reliability
Use Cases
Cloud outage management, Database failure handling, Kubernetes issues, Networking disruptions, Blockchain incidents, Security alerts, Incident response automation, Root cause analysis, Automated remediation
Pricing Details
Claims to reduce paging spend compared to PagerDuty; replaces $200K+ annual contracts
Differentiator
First agentic AI platform for incident response with AI agents acting as Tier 0 layer; pages AI agents first before humans; 85% MTTR reduction
Why Now
AI agents are now capable of autonomous investigation and remediation, making automated incident response viable
Traction
Customers Mentioned: Shutterstock · Notable Metrics: 85% MTTR reduction · Press Mentions: Business Insider

Key Facts

Category
Incident Management / AIOps / DevOps
Stage
Seed
Raised
$4.6M
Discovered via
product-hunt

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Vibranium Labs — SLAYREPORT