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IntelexVision Rebrands to Eluviant and Unveils Its Aurora Flow AI Model That Understands Motion in Surveillance

IntelexVision Rebrands to Eluviant and Unveils Its Aurora Flow AI Model That Understands Motion in Surveillance

Eluviant Logo

The video intelligence company is marking its new chapter with the release of Aurora Flow, an enterprise-scale AI model that understands complex actions and behaviours in CCTV footage

Eluviant, formerly IntelexVision, steps forward with a new name and brand identity that reflects both the rapid evolution of video intelligence in the age of AI and the company’s ambition to push the boundaries of what’s possible in computer vision for video surveillance.

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Founded in 2017, Eluviant has spent nearly a decade proving that existing surveillance infrastructure can be so much more than a security measure. Today, organisations across every sector are recognising the untapped operational value sitting within their existing camera networks, driving a growing market for enterprise-scale video intelligence which is expected to be worth $30bn by the end of the 2020s.

Raúl Lopéz Gonzaléz, Business Development Director, Southern Europe, Eluviant, said: “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: that we intend to continue leading this movement, having already helped shape it for the better part of a decade.”

The rebrand is accompanied by the launch of Aurora Flow, a frontier ‘video understanding’ model built for live, enterprise-scale surveillance. The new solution has already been deployed in live environments, and can run fully air-gapped, across multiple cameras and in near real-time, giving operators a clearer picture of what needs urgent attention by putting AI into the alert decision.

Aurora Flow extends Eluviant’s existing platform that has been proven in production for years: an unsupervised self-learning engine that flags genuinely unforeseen events and a visual language model (Aurora) that has sat inside the live alerting decision for the past 18 months.

By recognising movement patterns and contextualising behavioural sequences as they unfold, Aurora Flow unlocks use cases that were previously out of reach for organisations 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 as they happen using AI video understanding.

Eluviant’s technology is trusted across a range of demanding operational environments, from retail and critical infrastructure to smart cities. Whether supporting loss prevention, anomaly detection or rapid incident response, its solutions are built to meet the needs of organisations that require reliable, scalable AI across complex, multi-camera environments.

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