Creao AI Raises $10M to Scale No-Code AI Agent Platform for Enterprise Workflow Automation

Creao AI just pulled $10M out of the market like it knew something the rest of the room was still arguing about. Cupertino born, 2024 vintage, and already sitting on $25M across 3 rounds in under a year. Prosperity7 Ventures didn’t show up for vibes, they showed up because something here compounds. And when capital starts compounding, people pay attention.

Kai Cheng (CEO) built AI systems for over 250 enterprise clients before most folks figured out what prompt even meant. Clark Qingzhu Gao (CPO) brings the product and go to market discipline shaped at LinkedIn and Tencent. Together, they are not chasing the chatbot parade. They are building something a little more dangerous, a system that does not just answer questions but quietly replaces the need to ask them twice.

The pitch sounds simple until it isn’t. You talk to a “Super Agent,” it executes the work, and when it gets it right, that work becomes an Agent App. Not a one time trick, not another tab you forget to close, but a living process with memory that runs again tomorrow, and the day after that. No drag and drop toys, no canvas gymnastics. Just conversation that turns into infrastructure.

Somewhere between September 2025 and now, 200,000 users showed up without paid marketing. That’s not growth hacking, that’s gravity. People are tired of babysitting tools that were supposed to save them time. Creao AI leans into that frustration and says fine, let the machine keep the memory, let it run at 3am, let it stack small wins until they look like leverage.

Prosperity7 Ventures backing this move is not subtle. They are betting on a world where one operator with the right system can outproduce entire teams still stuck stitching together SaaS like it’s arts and crafts. The $52B AI agent market projection gets thrown around a lot, but projections are cheap. Execution is where the bodies are buried, and this team seems comfortable digging.

What stands out is not just the tech, it is the internal dogfooding. Creao AI runs its own workflows on the product. Marketing, content, operations. If it breaks, they feel it first. If it works, it scales before anyone writes a case study about it. That feedback loop is where most companies flinch. These guys leaned in.

The takeaway is less about funding and more about posture. Build something that learns after it ships. Turn outputs into assets. Treat every successful task like a seed that grows on its own schedule. The companies that figure out how to compound work instead of repeating it are going to look a lot bigger than their headcount suggests.