The AI coding market is now a multi-billion-dollar industry on its own, and Emergent just planted a flag in the part most incumbents ignored: small and medium businesses that need real software but don’t have engineering teams to build it.
Founded in 2024 by brothers Mukund Jha and Madhav Jha, Emergent launched with Y Combinator backing and has moved fast. The company has raised $230 million in total and closed a $130 million Series C in July 2026, putting its valuation at $1.5 billion. Mukund serves as CEO. Madhav is CTO.
What They Built
Emergent is an AI-powered builder for websites, apps, and web apps. The pitch is direct: a business owner describes what they need, and the platform builds it. No engineering hire required.
The numbers behind that pitch are not theoretical. Emergent has more than 100,000 apps live in production. That’s real businesses running real software on what the platform generated. It’s the kind of scale that separates a demo from a product.

The SME Bet
Most AI coding tools are built for developers: faster autocomplete, smarter refactoring, fewer tabs open to Stack Overflow. Emergent’s market is different. Their customer is the restaurant owner who wants a booking system, the consultancy that needs a client portal, the retailer who wants something custom that Shopify doesn’t do out of the box.
Revenue is split roughly evenly between North America, Europe, and the rest of the world. That global distribution is notable. It suggests the SME pain point Emergent is solving isn’t a US-specific phenomenon. Small businesses everywhere need software and can’t always afford to commission it the traditional way.
What the Founder Is Thinking About
Shortly after the Series C closed, CEO Mukund Jha sat down with The Stack to discuss three things: the SME focus, who should own security responsibility for AI-generated end-products, and how the platform supports apps after they’re built.
That last point matters more than it sounds. Building an app in minutes is the demo. Keeping that app working, secure, and maintained over months is the product. It’s a harder problem, and the fact that Jha is talking about it publicly suggests Emergent knows post-build support is where the real work begins.
The Transferable Lesson
The Jha brothers found a segment that larger AI coding tools weren’t optimizing for and built specifically for it. The 100,000 production apps and the even global revenue split suggest the niche is real and scaling. If you’re thinking about where vibe coding goes next, the answer might not be more powerful tools for senior engineers. It might be simpler, more reliable tools for everyone else.
