Creao AI is a central player in the shift toward autonomous AI agents. They provide the infrastructure for "Agent Apps," which allows agents to exist as persistent entities with long-term memory rather than transient chat sessions. This is critical for the agent ecosystem as it addresses the execution and orchestration layers—enabling agents to run on schedules (24/7) and interact with external data sources through a library of connectors.
For builders, Creao represents a platform that handles the complexities of agent reliability and maintenance. By providing a natural language interface to generate full-stack agentic applications, they lower the barrier to entry for creating specialized AI workers. Their focus on the "Super Agent" model positions them as a foundational tool for users who need to orchestrate multiple agents within a unified workspace.
Most modern AI interactions follow a simple pattern: a user asks a question, the model provides an answer, and the session ends. Creao AI is building for a different reality where AI does not stop at the chat box. Founded in 2024 and based in Cupertino, the company is focused on transforming these one-off conversational wins into persistent, reusable units of software they call "Agent Apps." These apps are designed to run 24/7, maintaining memory across sessions and executing tasks on a schedule without manual intervention.
Creao AI is led technically by CTO Dr. Peter Pang, whose research into Supervised Fine-Tuning (SFT) and Reinforcement Learning forms the backbone of their coding and task-execution agents. The company secured a $15 million seed round led by Monolith Management to accelerate this mission. Their central thesis is that the future of digital productivity involves people acting as managers of a fleet of specialized agents rather than performing repetitive manual labor within traditional SaaS interfaces.
The platform's core interface is the "Super Agent." This is the primary entry point where users describe the work they want done. Once a task is successfully performed—such as analyzing customer feedback or generating user stories—the Super Agent can package that logic into a standalone application. These applications are not just static interfaces; they are autonomous entities with their own memory, search capabilities, and tool integrations.
This approach contrasts with traditional no-code tools or "vibe coding" app builders that prioritize front-end generation. While those tools help users build a UI quickly, Creao focuses on the underlying logic and reliability of the agent. By using natural language to define these workflows, the platform moves development power to the front lines of business operations. A product manager can create a feedback analyzer that automatically pulls from support tickets and customer calls, then generates a roadmap organized specifically for their team's cadence.
Creao AI occupies a space between the horizontal flexibility of ChatGPT and the vertical specialization of traditional enterprise automation platforms. Unlike a general-purpose chatbot, Creao apps are persistent and programmable. Unlike a legacy automation tool, they are defined through conversation rather than complex visual nodes or proprietary code.
They have adopted a tiered subscription model ranging from a free tier for individual experimentation to a high-capacity "Max" tier for enterprise execution. This pricing reflects their view of AI agents as workers: users pay for credits that translate into agent actions and processing time. As the ecosystem moves toward autonomous agents, Creao is positioning itself as the workspace where these agents are created, managed, and executed at scale. The platform's ability to connect across various digital tools through its connector framework suggests an ambition to be the unified connective tissue of the modern AI-native workspace.
A persistent AI that creates and runs reusable agent apps and workflows.
Creao AI is hiring.