Emergent secures $70M Series B to scale AI ‘vibe‑coding’ platform

Emergent is arguably the clearest signal yet that AI‑native app creation is becoming its own platform category. Hitting $50 million in ARR and 5 million users within seven months, then raising a $70 million Series B led by Khosla and SoftBank, shows substantial traction for agentic tools that let non‑developers ship real software. In practical terms, Emergent is trying to turn “build an app” into a natural‑language operation, which, if it works at scale, could massively expand the surface area where AI interacts with the real economy. ([01net.it](https://www.01net.it/emergent-raises-70m-from-khosla-ventures-and-softbank-vision-fund-2-to-enable-anyone-to-turn-ideas-into-monetizable-software/))

For the race to AGI, this is one more data point that agentic systems are moving from demos into revenue‑generating products. Emergent relies on autonomous agents that design, code, test and deploy apps end‑to‑end, stressing reliability, monetization and lifecycle management—not just code snippets. That forces the underlying models to handle long‑horizon tasks, tool use and state management in more demanding conditions. As more revenue flows through these platforms, capital will chase better agents and foundation models tuned for software creation, sharpening competition with incumbents like Replit, Lovable and even cloud providers’ low‑code offerings.