Leading the Next Generation of Video Analytics

Agentic AI video intelligence is the next evolution of video analytics. Rather than just detecting objects or events, it delivers contextual understanding, interprets situations, and applies reasoning. It identifies what truly matters in real time, generating alerts and enabling effective responses. Offline, it accelerates investigations and uncovers insights, revealing patterns across time. All of this is accessible through a copilot interface that autonomously orchestrates a set of AI agents to accomplish the task at hand.

Traditional video analytics relies on rigid predefined computer-vision rules and basic object detection and classification, such as motion detection or people counting. Agentic AI goes further, understanding context, recognizing complex scenarios, and interpreting behaviors to empower mission-critical organizations with the critical insights they need, in real time and offline.

Video intelligence systems continuously analyze video input that comes directly from cameras or through video management systems, by processing each frame using a combination of AI technologies. First, they extract and correlate images; then they understand objects, people, actions, and environments using Vision AI and verticalized domain-specific VLM pipelines; all utilizing GPU. They use anonymization for privacy and use AI agents for automation of workflows and response.

Common video intelligence use cases include:
– Security: person identification, person behavior, person and vehicle track and trace, crowd monitoring, and anomaly detection.
– Safety: worker adherence to regulations.
– Operational efficiency: data on time use and resource allocation.
– Traffic management: monitoring congestion, violations, and accidents.
– Analytics: real-time and historical.
In each use case, video intelligence transforms video from a passive input into an active partner, turning vision into insights, impact and value.

Because context determines accuracy. What matters in a seaport is different from a utilities site e.g., threat profiles, operational realities, and consequences. An intelligent video analytics platform is trained on extensive, real-world, domain-specific footage to deliver the precision mission-critical environments demand. In contrast, a generic VLM is likely to miss critical, vertical-specific nuances, and can be more costly due to its scale and general-purpose design.

Yes. Through the prompt-based interface, users can instantly and effortlessly interact with the platform through natural language. They can quickly discover insights, uncover trends, and generate business deliverables, with no coding or pre-defined rule setup required. Non-technical users can easily create alerts and run investigations on their own.

Yes. Built for enterprise-scale deployment across multiple sites within mission-critical operations, agentic AI video intelligence offers a comprehensive API/SDK for seamless integration with existing camera networks and external systems. The enterprise-grade platform processes vast amounts of video data in real time, adapts to evolving use cases, and expands seamlessly with your operations without disruption.

Agentic AI Video Intelligence can be deployed flexibly, in the cloud, on-premises, or within fully closed networks without internet connectivity. It also comes with built-in high-availability and disaster recovery capabilities for each scenario.