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Vibranium Labs

Vibranium Labs offers Vibe OnCall, an AI‑driven incident response platform that automatically ingests alerts, logs, tickets and chat data to diagnose root causes, suggest fixes, and coordinate triage actions. It acts as a Tier 0 SRE layer, handling initial investigation and routing so on‑call engineers are only engaged for decisions that require human judgment. The service is sold on a subscription basis, with pricing tiers aligned to usage and enterprise feature sets.

Traction 10/10
New York, United States · HQ
Founded 2024153K+ followers
  • Artificial Intelligence
  • Developer Tools
  • Enterprise Software
  • Software Only
Updated 16 days ago

Funding

Raised to date

$4.6MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 1 round

+3

$4.6M · Seed

Announced Sep 2025

Disclosed cumulative: $4.6M

Founders

3 founders

Sang Lee

New York, United States

Co-founder & CEO

Profile summary: MS in Systems Engineering at Cornell University

Charles Kim

New York, United States

Co-founder

Profile summary: BS in Finance at University of Pennsylvania - The Wharton School

Tim Hwang

New York, United States

Co-founder

Profile summary: MBA in Business Administration at Harvard University

Product

Problem

SREs and on-call engineers face challenges in rapidly resolving IT incidents due to alert fatigue, difficulty in pinpointing root causes, and time-consuming manual tasks. This often leads to prolonged downtime, increased operational stress, and delayed resolution times.

Solution

Vibranium AI provides an AI-powered platform that acts as a real-time assistant for on-call engineers, optimizing incident response and resolution. The platform leverages proprietary LLMs trained on real-world scenarios to automate root cause analysis, provide actionable insights, and execute runbooks. By integrating with existing observability and monitoring stacks, Vibranium AI acknowledges incidents within seconds, synthesizes system data, and facilitates seamless communication and documentation, significantly reducing MTTR and freeing up engineers to focus on high-impact work.

Target Audience

The primary target audience includes SREs, on-call engineers, and IT teams seeking to automate incident response, reduce downtime, and improve overall system reliability.

Features

  • Real-time incident response, acknowledging and reacting to IT incidents within seconds
  • Automated root cause analysis using proprietary LLMs trained on real-world scenarios
  • Real-time AI assistant accessible via Slack or during conference calls
  • Intelligent runbook execution, converting non-code instructions into code and automatically creating runbooks after incident resolution
  • Seamless communication and documentation, summarizing calls, Slack discussions, and actions taken, and automatically updating tickets
  • Integration with essential platforms via read-only access configurations and adherence to SOC 2 Type 2 compliance
  • Post-meeting summaries delivered via email, including detailed reports and transcriptions
This profile is AI-generated and may contain inaccuracies.