Intozi

Intozi builds AI video analytics and computer vision systems through its Ikshana platform, applying object and behavior detection to problems like traffic congestion, red light violations, and speed monitoring alongside people counting, face recognition, and crowd anomaly detection. Clients include Indian Oil and Delhi Police, and the company serves sectors such as aerospace and defence, agriculture, banking and finance, and construction and civil works, where video feeds from existing camera infrastructure need to be turned into actionable alerts.

Work moves through data collection, data labelling, model development, and deployment, with a zero-coding architecture that lets AI models be built and deployed without custom development for each use case. Intozi also sets up centralized command and control rooms for clients monitoring these detections in real time, and integrates outputs with Power BI and Tableau so results feed into existing BI dashboards rather than standalone tools.

The detection catalog spans safety and security scenarios including intrusion and trespassing, fence jumping, loitering, forklift speed violations, and PPE compliance, alongside hazard detection for unattended objects, fire and smoke, and person collapse or fall incidents. Municipal and infrastructure use cases cover stray animal detection, garbage overflow, and pothole detection, while retail and facility clients get customer movement and dominant path analysis. Each capability is built on the same underlying pipeline, letting organizations add new detection types to a shared video analytics infrastructure rather than standing up separate systems for each requirement.