Zensors — Spatial AI for Business Operations

Zensors is a spatial AI platform that turns video feeds into operational insights for physical businesses.

Zensors is a spatial AI platform that converts standard CCTV and camera feeds into actionable operational data for physical environments. It is designed for business owners and facility managers who need to monitor occupancy, queue lengths, and asset utilization without manual oversight. By applying deep learning to existing video infrastructure, Zensors provides real-time insights into how people interact with physical spaces. The platform allows users to ask questions about their environment, such as how many people are waiting in a specific line or if a restricted area is occupied. Zensors processes these visual queries and delivers structured data through a centralized dashboard. This helps retail managers optimize staffing levels based on foot traffic and assists airport operators in managing security wait times efficiently. Businesses use this tool to eliminate the need for specialized hardware sensors, leveraging their current camera networks instead. By reviewing historical trends and real-time alerts on surfai.app, stakeholders can make informed decisions about resource allocation and space design. The system is built with privacy in mind, focusing on telemetry and counts rather than individual identification. Zensors offers a flexible pricing model designed to scale with the number of camera feeds and data points required. Most business users begin with a pilot program to validate accuracy across their specific floor plans before wider deployment.

• Pricing: enterprise

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