Purpose-Built For Security, New Generative AI Model Analyzes CCTV Data To Understand And Automate Complex Real-Time Events
Eluviant has launched Aurora Flow, a next-generation generative AI model designed for enterprise-scale video surveillance. Built specifically for security applications, the solution analyzes CCTV footage to understand complex sequences of events in near real time, enabling organizations to automate advanced video intelligence across multiple cameras, even in fully isolated environments without external network connectivity.
Aurora Flow addresses one of the biggest challenges in enterprise video analytics by interpreting behaviors and events over time rather than relying solely on individual video frames. The new model builds on Eluviant’s existing AI platform, which combines an unsupervised self-learning engine capable of identifying previously unseen events with its Aurora vision-language model that has supported live alert decision-making for the past 18 months.
Advancing Video Intelligence Beyond Detection
By recognizing movement patterns and understanding behavioral context, Aurora Flow enables organizations to identify complex activities that have traditionally required human monitoring. These include equipment tampering, unsafe climbing in hazardous environments, dangerous driving, fighting, theft, and other behaviors that are difficult to detect using conventional video analytics.
Callum Wilson, Founder and Co-CEO of Eluviant, said:
“We believe Aurora Flow is a frontier AI model in surveillance and a step change in what video intelligence can deliver, moving beyond detection and into genuine understanding of behaviors and actions in complex real-world environments. It addresses a challenge that traditional video analytics has struggled to solve efficiently: understanding what is happening when a single still frame is not enough. Things like fighting, climbing, and theft have typically required human eyes to detect them accurately. Now we can help operators gain a clearer picture of what does and doesn’t need their urgent attention.”
Rebranding Reflects AI Vision
Founded in 2017, the company has spent nearly a decade demonstrating how existing video surveillance infrastructure can provide operational intelligence beyond traditional security applications. Growing demand for enterprise-scale video intelligence is driving a market that is expected to reach $30 billion by the end of the decade.
Formerly known as IntelexVision, the company has rebranded as Eluviant to reflect the evolution of AI-powered video intelligence and its ambition to advance computer vision technology for enterprise surveillance.
Speaking about the rebrand, Callum Wilson added:
“Everything we have built under the IntelexVision name — our technology, customer relationships, and hard-won understanding of what enterprise deployments actually require — is the foundation this moment stands on. This is what that work was always building towards: the capability to deliver video intelligence at scale, securely, in the real world. Our new identity is our statement of intent and we intend to continue leading this movement, having already helped shape it for the better part of a decade.”
Enterprise Deployment
Eluviant’s technology is deployed across retail, critical infrastructure, construction, and smart city environments. Its AI-powered solutions support loss prevention, anomaly detection, rapid incident response, and other operational use cases across complex multi-camera deployments in real time.
Eluviant is a global provider of AI-powered video intelligence solutions. Formerly known as IntelexVision, the company helps enterprise organizations transform existing camera infrastructure into real-time operational intelligence and currently supports more than 50,000 camera feeds across five continents. https://eluviant.com
Internal Links URLs
- https://security.world/category/artificial-intelligence/
- https://security.world/category/video-surveillance/
External Links URLs
Frequently Asked Questions (FAQs)
1. What is Aurora Flow?
Aurora Flow is Eluviant’s next-generation generative AI model that analyzes CCTV footage to understand complex behaviors and events across multiple cameras in near real time.
2. What makes Aurora Flow different from traditional video analytics?
Unlike conventional analytics that focus on individual frames, Aurora Flow understands sequences of events and behavioral context, enabling more accurate detection of complex incidents.
3. Can Aurora Flow operate without internet connectivity?
Yes. The platform can be deployed in fully isolated environments with no external network connectivity while continuing to operate across multiple camera feeds.
4. Why did IntelexVision rebrand to Eluviant?
The company adopted the Eluviant name to reflect the evolution of AI-powered video intelligence and its long-term vision for advancing enterprise computer vision technologies.
5. Where is Eluviant’s technology used?
Its AI solutions are deployed across retail, critical infrastructure, construction, smart cities, and other enterprise environments, supporting more than 50,000 camera feeds worldwide.