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§ Private Profile · 101 Jefferson Dr, Menlo Park, CA 94025, USA
Vibranium Labs is a technology company.
Vibranium Labs builds Vibe AI, an AI-powered incident management platform. It serves as a Tier 0 layer for on-call engineering, integrating proactive detection, real-time analysis, and AI-driven automation. This system streamlines incident response, enhances reliability, and supersedes traditional paging with an intelligent operational approach.
Co-founded by CEO Sang Lee, previously of Google and AWS, and CTO Charles Kim, Vibranium Labs emerged from an insight to revolutionize incident response. They sought to make system reliability smarter and more accessible for engineering teams through AI, addressing critical enterprise technology needs.
Vibranium Labs serves on-call and Site Reliability Engineering teams across organizations, from startups to enterprises, where continuous system uptime is crucial. Their vision is to transform incident resolution, ensuring it is simple and swift via advanced AI, guaranteeing robust operational continuity.
Vibranium Labs has raised $5.0M across 1 funding round.
Vibranium Labs has raised $5.0M in total across 1 funding round.
Vibranium Labs has raised $5.0M in total across 1 funding round.
Vibranium Labs's investors include Calibrate Ventures, Mirae Asset, Kleiner Perkins, Oak HC/FT, Techstars, TenOneTen Ventures, Drew Houston.
Vibranium Labs has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Seed in September 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2025 | $5M Seed | Calibrate Ventures, Mirae Asset | Kleiner Perkins, OAK HC/FT, Techstars, TenOneTen Ventures, Drew Houston | Announced |
Vibranium Labs is a VC-backed technology startup building Vibe AI, an autonomous AI-powered Site Reliability Engineering (SRE) assistant that detects, analyzes, and resolves IT incidents in real-time.[1][2][4] It serves enterprises in critical sectors like finance, healthcare, media, entertainment, e-commerce, retail, and defense by integrating with tools such as Slack, Teams, Jira, ServiceNow, Datadog, and PagerDuty to triage alerts, identify root causes, and recommend solutions, reducing mean time to resolution (MTTR) by up to 85% and minimizing downtime.[2][3] The company recently raised $4.6 million in seed funding led by Calibrate Ventures and Mirae Asset, with participation from a16z, Franklin Templeton, and others, fueling product expansion and team growth amid strong early traction with Fortune 1000 clients and SaaS companies.[3][4]
Vibranium Labs was founded by Tim Hwang, Co-Founder and Executive Chairman of FiscalNote (NYSE: NOTE), who previously attracted backing from Mark Cuban, Jerry Yang, and NEA, alongside AI and engineering leaders from Google, Amazon, Workday, and Instacart.[1] The idea emerged from a mission to redefine SRE using Agentic AI, addressing the burdens of on-call engineering in complex IT environments where downtime costs millions.[1][2][3] Early pivotal moments include securing $4.6 million in seed funding to scale Vibe AI's multimodal capabilities for proactive incident management, and being named one of AWS’s inaugural agentic AI partners alongside Salesforce and Splunk, validating its innovative approach.[3]
Vibranium Labs rides the agentic AI wave in DevOps and SRE, where generative AI evolves from passive tools to autonomous agents handling real-world IT chaos amid exploding cloud complexity and zero-downtime demands.[1][2][3] Timing is ideal as enterprises face MTTR pressures in a 24/7 digital economy—finance and healthcare can't afford outages—while AWS's agentic AI marketplace signals ecosystem momentum.[3] Market forces like rising AI adoption in infrastructure (e.g., ML for monitoring) and investor hype around a16z-backed autonomy favor it, positioning Vibranium to influence SRE standards by modernizing on-call for SaaS, enterprises, and beyond.[3][5]
Vibranium Labs is primed to dominate agentic SRE with Vibe's real-time autonomy, leveraging seed funding for engineering hires, partnerships, and multimodal upgrades amid AWS validation.[3][4] Trends like AI-driven infrastructure (e.g., generative AI in observability) and edge computing will amplify its edge, potentially expanding to predictive maintenance and full-stack ops. Its influence could evolve from incident responder to reliability platform leader, redefining on-call as AI-native—watch for Series A and deeper Fortune 500 penetration, building on Tim Hwang's proven playbook to make the internet unbreakable.[1][3]