Aim to understand and automate real-time events
AI company Eluviant has announced the launch of Aurora Flow, a frontier ‘video understanding’ model purpose-built for live, enterprise-scale surveillance. The solution has already been deployed in live environments, and can run fully air-gapped, across multiple cameras and in near real-time.
Aurora Flow represents a significant technical milestone by solving one of the most challenging problems facing scale commercial deployment of video intelligence: the ability not just to analyse what is happening across a sequence of movement over time, but to understand whether further review or action is required.
This 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 vision language model (Aurora) that has sat inside the live alerting decision for the past 18 months.
Behavioural sequences
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.
“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 and evaluation of behaviours and actions in complex live environments,” stated Rafik Lamri, Regional Director, META, Eluviant.
Eluviant, formerly IntelexVision, founded in 2017, works with enterprise customers representing some of the largest organisations in their sectors, and more than 60 technology and commercial partners. With over 250 deployments across five continents, Eluviant customers include Airbus, DP World and Vodafone, a press statement concluded.
