IntelexVision rebrands as Eluviant, launches Aurora Flow AI model

LONDON—Video intelligence company IntelexVision has rebranded as Eluviant and unveiled Aurora Flow, a generative artificial intelligence (AI) model designed to help enterprise users analyze complex events and behaviors across large-scale video surveillance deployments in near real time.

The company said Aurora Flow is already operating in live environments and can process video from multiple cameras simultaneously, including deployments in isolated environments with no external network connectivity.

According to Eluviant, the technology addresses a longstanding challenge in video analytics by analyzing movements and events over time rather than relying on information contained within individual video frames.

The model builds on the company’s existing AI platform, which combines an unsupervised self-learning engine with its Aurora vision-language model.

“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,” said Callum Wilson, founder and co-CEO of Eluviant. 

Eluviant said the technology is designed to help organizations identify behaviors such as equipment tampering, unsafe climbing, theft, fighting and dangerous driving, enabling operators to better distinguish incidents requiring immediate attention.

The rebranding from IntelexVision to Eluviant reflects both the company’s growth and the broader evolution of AI-driven video intelligence, according to Wilson.

“Everything we have built under the IntelexVision name - our technology, customer relationships and understanding of what enterprise deployments require - is the foundation this moment stands on,” he said. “This is what that work was always building toward: the capability to deliver video intelligence at scale, securely, in the real world.”