Eluviant has introduced Aurora Flow, a generative AI model tailored for enterprise-level video surveillance, marking a significant development in video intelligence technology.
Already deployed in live operations, Aurora Flow is capable of processing data from numerous cameras in near real-time, even in isolated environments devoid of external network access. This innovative solution addresses a major challenge by analyzing sequences of movements and events over time, rather than focusing solely on individual video frames.
AI Video Understanding
Building upon Eluviant's established AI platform, which has been successfully implemented by various enterprises for years, Aurora Flow enhances video understanding through an unsupervised self-learning engine.
This engine can identify unforeseen incidents, alongside the vision-language model (Aurora) that has been actively used in decision-making processes for 18 months. By interpreting movement patterns and contextualizing behavior swiftly, Aurora Flow provides opportunities for organizations in high-security environments to identify activities such as equipment tampering and reckless actions like unsafe climbing and hazardous driving.
Enterprise-Scale Video Intelligence
Eluviant's rebranding reflects its commitment to advancing computer vision capabilities
Callum Wilson, Co-CEO and Founder of Eluviant, remarked, “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 behaviours and actions in complex real-world environments.” He emphasized the model's ability to offer clarity on situations traditionally requiring human intervention, such as detecting theft or altercations, allowing operators to prioritize effectively.
Since its inception in 2017, Eluviant has demonstrated the potential of existing video surveillance infrastructure beyond standard security applications. The growing recognition of operational insights available through these networks is fueling a market for enterprise-scale video intelligence projected to hit $30 billion by the end of the decade.
Rapid Evolution of Video Intelligence
Previously known as IntelexVision, Eluviant's rebranding reflects its commitment to advancing computer vision capabilities in the realm of video surveillance. 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.”
Eluviant’s solutions are trusted across diverse and demanding environments, including retail, critical infrastructure, construction, and smart cities. Whether enhancing loss prevention measures, anomaly detection, or rapid incident response capabilities, the technology is designed to deliver reliable, scalable AI in complex, multi-camera systems in real-time.
AI company Eluviant announces the launch of Aurora Flow, a generative AI model built for enterprise-scale video surveillance deployments. The solution has already been deployed in live environments and can operate across multiple cameras in near real time, including in fully isolated environments with no external network connectivity.
Aurora Flow represents a significant technical milestone by solving one of the most challenging problems facing large-scale commercial deployments of video intelligence: analyzing not just what is visible in individual video frames, but what is happening across a sequence of movements and events over time.
AI video understanding
This builds on Eluviant's proven AI platform, which has been deployed by a range of enterprise organizations for years. The platform combines an unsupervised self-learning engine that identifies genuinely unforeseen events, with the company's vision-language model (Aurora) that has been embedded in the live alert decision-making for the past 18 months.
By recognizing movement patterns and contextualising behavior in near real time, Aurora Flow unlocks use cases previously out of reach for organizations operating in the world's most secure and sensitive environments. Equipment tampering, unsafe climbing in dangerous environments, and dangerous driving are just a few of the behaviours that can be more accurately identified using AI video understanding.
Enterprise-scale video intelligence
“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 behaviours and actions in complex real-world environments,” Callum Wilson, Founder and Co-CEO of Eluviant, said. “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.”
Founded in 2017, Eluviant has spent nearly a decade demonstrating that existing video surveillance infrastructure can deliver far more than a security measure. Today, organizations across every sector are recognizing the untapped operational value sitting within their existing camera networks, driving a growing market for enterprise-scale video intelligence that is expected to be worth $30bn by the end of the decade.
Rapid evolution of video intelligence
Formerly IntelexVision, the company today steps forward under the new name and brand identity, Eluviant, which reflects both the rapid evolution of video intelligence in the age of AI and the company's ambition to continue pushing the boundaries of what’s possible in computer vision for video surveillance.
"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,” Callum added. “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."
Eluviant's technology is trusted across a range of demanding operational environments, from retail and critical infrastructure to construction and smart cities. Whether supporting loss prevention, anomaly detection, or rapid incident response, its solutions are built to meet the needs of organizations that require reliable, scalable AI across complex, multi-camera environments in real-time.
