Vibranium Labs raises $4.6M for AI agents to fix IT issues caused by bad coding
Vibranium Labs secured $4.6 million for its AI agents that monitor and resolve IT issues, targeting apps built with flawed vibe coding.
New York-based Vibranium Labs has raised $4.6 million in seed funding to develop AI agents that monitor, triage, and resolve IT incidents. The startup’s technology, dubbed "Vibe AI," integrates with a company’s existing incident response software and operates 24/7 to address outages and system failures.
The Problem and Solution
Founded by Tim Hwang, Sang Lee, Charles Kim, and Tanny Kang, Vibranium Labs aims to solve a common nightmare for software engineers: late-night emergency calls due to app failures. The team draws from their experiences at Google, AWS, and Fiscal Note to build AI agents that proactively detect and fix issues, including those stemming from vibe coding—a trend where developers use text prompts to generate code, often overlooking potential flaws.
"There are a lot of VCs that put a lot of money into vibe coding or coding assistant companies," said Hwang. "These applications are definitely going to break."
Market Opportunity
The startup sees growing demand for its product as more companies adopt vibe coding, increasing the risk of unstable applications. Vibranium Labs targets industries like finance, healthcare, defense, retail, and media, offering its AI agents on a per-usage pricing model.
The founders also highlighted the CrowdStrike outage of 2024 as an example of large-scale IT failures their technology could mitigate.
Funding and Investors
The seed round, closed in six to eight weeks, was led by Calibrate Ventures and Mirae Asset, with participation from a16z, Franklin Templeton, Plug and Play, Gaingels, Wildcard Capital, FalconX, and DCG. The funds will accelerate product development and expand the engineering and go-to-market teams.
Pitch Deck Highlights
Business Insider obtained an exclusive look at the 15-slide pitch deck used to secure the funding. Key slides include:
- Problem Statement: The rising incidence of IT failures due to vibe coding.
- Solution: Vibe AI’s automated monitoring and resolution capabilities.
- Market Traction: Early adoption by enterprises in high-stakes industries.
- Competitive Edge: 24/7 operational AI agents versus traditional manual debugging.
For more on vibe coding’s pitfalls, read this article.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.