# Applications
Presens Network is a DePIN protocol delivering the spatiotemporal infrastructure for AI, robotics, and enterprises, transforming human presence in time and place into safer, smarter applications. *** ### **AI & Robotics Teams** Train models with real-world spatiotemporal context. Robotics and AI systems need to understand not just space but also when and where humans are present. Presens provides the presence layer for safe navigation, task scheduling, and predictive behaviors. *** ### **Urban Planners & Smart Cities** Visualize activity cycles for safer, smarter infrastructure. City planners gain an anonymous yet accurate view of foot traffic, activity patterns, and density flows, supporting better transit planning, zoning, and safety measures without invasive surveillance. *** ### **Logistics & Mobility** Optimize routes, fleets, and schedules in real time. From ride-hailing to last-mile delivery, mobility platforms use Presens signals to predict demand, avoid congestion, and improve routing efficiency. *** ### **Retail & Hospitality** Measure peak periods without tracking individuals. Businesses gain insights into local presence patterns, when people gather, how density shifts, enabling smarter staffing, promotions, and inventory planning without collecting personal data. *** ### **Research & Academia** A new open layer for human dynamics. Universities and research labs studying human mobility, epidemiology, or environmental impact can access anonymized presence data at global scale, accelerating open innovation. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://presens.gitbook.io/wp/applications.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.