Emergent, the AI-powered “vibe-coding” platform founded barely a year ago, has closed a $130 million Series C round that values the company at $1.5 billion post-money. The round was led by Creaegis, with participation from Claypond Capital, Sentinel Global, Khosla Ventures, SoftBank Vision Fund 2, Lightspeed, and Y Combinator. Total capital raised now sits at $230 million, and the company reports annualized recurring revenue of $120 million, up 70% in just four months. From founding to unicorn in record time
The company was founded in June 2025 by brothers Mukund Jha (CEO) and Madhav Jha (CTO). By September 2025, they’d raised a $23 million Series A. By January 2026, they closed a $70 million Series B at a $300 million valuation. Now, six months later, they’re valued at five times that number.
The platform lets people who can’t code build software applications using natural language prompts. The company calls this “vibe-coding,” and it has attracted more than 200,000 paying customers. Those customers are predominantly small and medium enterprises that need internal tools and custom applications but can’t justify hiring a full engineering team. What this means for investors
A $120 million ARR with 70% growth over four months implies the company could be approaching a $200 million run rate by year’s end if that pace holds. With 200,000 paying customers, the average revenue per customer works out to roughly $600 annually, suggesting a high-volume, low-ticket business model. The planned expansion into Europe, including a new office, signals that Emergent sees significant untapped demand outside its initial markets. At $1.5 billion on $120 million ARR, the company trades at roughly 12.5x revenue.
If growth decelerates or churn increases as competitors like Replit, Cursor, and others improve their offerings, that multiple could come under pressure quickly. SoftBank’s presence in the cap table through Vision Fund 2 adds another dimension. SoftBank has a well-documented history of making aggressive bets on high-growth companies. Their involvement here suggests conviction in the AI coding tool category. Disclosure: This article was edited by Editorial Team.
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