Zappr

Zappr is a drag-and-drop AI automation engine designed to help users build AI agents and deploy them into production without writing code or making upfront investments. The platform focuses on turning ideas into functional, ready-to-sell agents in a matter of days rather than months, which addresses the common bottlenecks in AI development: high cost, long time-to-market, and technical risk. At its core, Zappr provides a visual interface where users can construct AI agents by connecting modular components, defining workflows, and integrating data sources. These agents can handle tasks such as natural language processing, document analysis, decision-making, and repetitive process automation. The drag-and-drop nature lowers the barrier for non-technical users, allowing business analysts, product managers, and operations teams to create sophisticated automation without needing a dedicated engineering team. One distinctive feature is the revenue-share model: users can build AI agents at zero initial cost and only pay when the agents generate value, typically through a percentage of revenue or usage fees. This removes the financial risk associated with traditional AI projects, where companies must invest heavily in infrastructure, talent, and long development cycles before seeing any return. Zappr also enables users to resell the agents they create, effectively turning the platform into a marketplace for AI solutions. The platform is already adopted by fast-moving teams in sectors such as automotive, energy, and real estate. For example, in automotive, agents can be built to automate customer inquiry responses, vehicle diagnostics, or inventory management. In energy, agents might monitor equipment performance, predict maintenance needs, or optimize energy consumption. Real e