Video surveillance is foundational to modern security. But a camera is a tool, not a complete solution.
cameras an operator can effectively watch at once before performance drops.
Source: UK Home Office
detection rate after 20 minutes of an operator continuously monitoring one camera feed.
Source: University of Leicester
video data a 100-camera estate generates every day.
In-house data
Searching through hours of footage slows investigations and delays decisions. Eluviant turns video into searchable intelligence, so teams locate people, vehicles and events in seconds.
A real step forward, but a foundation, not a finish. We believe we are close to reaching the ceiling of what's possible with traditional rules-based analytics.
The old world automated some aspects of event detection: tell the system what to look for, and it flags the matches. A real step forward, but a foundation, not a finish. We believe we are close to reaching the ceiling of what's possible with traditional rules-based analytics.
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Each layer builds on the one before, from proven detection to genuine understanding.
High-quality detection across all major security and operational needs.
Better, more comprehensive image analysis and classification over time.
Situational awareness, learning what is normal for each environment.
Contextualisation, reasoning and natural-language prompting.
Tailored solutions for the unique challenges of transport and logistics operations.
Learn more about our products, partners and the future of video intelligence.
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Act on live alerts while analysing historical patterns for insights
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Act on live alerts while analysing historical patterns for insights

Act on live alerts while analysing historical patterns for insights
The shift from rules-based analytics to AI-native intelligence is happening now. Because we don't believe that seeing is enough: the new bar is understanding.




We know you have questions. Here are the answers to the most common ones about Eluviant and our video intelligence platform.
Video intelligence is the layer that turns what your cameras capture into understanding. Where video analytics flags matches to rules you set, video intelligence learns what is normal for each scene, surfaces what matters, and explains it in plain language. It combines four layers of AI: advanced analytics, deep learning, self-learning and generative AI.
Analytics has to be told what to look for and stops at classification. Intelligence learns what is normal and what is not, cares about relevance over raw accuracy, and adapts as environments change. Analytics is a set of point tools; intelligence is one integrated platform.
It self-learns what normal looks like for each camera view, then alerts on anything that deviates, with no rules to configure. It catches events no one thought to define in advance, which is exactly what rules-based analytics misses.
For Unusual Behaviour, no: it learns each scene on its own, with no rules or pre-training. You can still set precise rules for anticipated use cases, and combine both.
Aurora and Aurora Flow contextualise events, pre-verify alerts, and let you search footage and configure the system in plain language, moving from spotting activity to understanding it.
Yes. The same platform runs private cloud, hybrid or fully air-gapped, with no loss of capability, which matters for critical infrastructure, energy and government sites.
Most Customers see their first live detections inside 30 minutes . No rip and replace Eluviant runs on top of the network you already own.
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