Vibranium Labs Raises $4.6 Million to Bring AI Into Incident Response
 |
| Credits: Vibranium Labs |
Vibranium Labs has secured $4.6 million in seed funding to scale Vibe AI, positioning the startup at the center of a growing push to automate site reliability work as digital systems become harder to manage and failures more costly.
The round was led by Calibrate Ventures and Mirae Asset, with participation from Franklin Templeton, Plug and Play, Gaingels, Wildcard Capital, FalconX, and DCG. The capital will be used to advance product development, hire engineering and go to market teams, and expand partnerships across sectors where downtime directly hits revenue, including finance, healthcare, media, retail, and defense.
Vibe AI is marketed as the first AI Site Reliability Engineer, designed to operate around the clock. The system monitors infrastructure, triages incidents, and recommends fixes by pulling context from logs, alerts, and historical data across existing tools. Vibranium Labs says customers have cut mean time to resolution by up to 85%, a metric that directly affects uptime, customer trust, and operating costs.
“Every outage carries hidden costs, lost revenue, shaken confidence, and eroded trust,” said Sang Lee, Co-Founder and CEO of Vibranium Labs, highlighting why the company believes automation is becoming unavoidable as systems scale.
The company also gained early validation from Amazon Web Services after being named one of AWS’s inaugural agentic AI partners, joining Salesforce and Splunk in a new marketplace spotlight focused on enterprise-ready agentic tools.
Interest in infrastructure resilience has intensified after several high profile failures. The 2024 CrowdStrike outage disrupted systems worldwide and renewed scrutiny on how enterprises detect and respond to incidents. Investors have since shown stronger appetite for tools that reduce human dependency during outages, especially as AI workloads add new layers of complexity.
With Fortune 1000 customers already in production, Vibranium Labs is betting that AI driven incident response will move from an experimental add on to a standard part of enterprise reliability stacks.
