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Deployed in enterprise environments across 5 continents

Cameras see everything. Understanding what's important is the real challenge.

 Video surveillance is foundational to modern security. But a camera is a tool, not a complete solution.

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6 to 8

cameras an operator can effectively watch at once before performance drops.

Source: UK Home Office

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>40% lower

detection rate after 20 minutes of an operator continuously monitoring one camera feed.

Source: University of Leicester

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3 to 5 TB

video data a 100-camera estate generates every day.


In-house data

Find events in seconds, not hours.

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.

View Use CaseS
Man in dark hoodie and pants standing with hands in pockets on a concrete floor.

Our multi-layered approach to Video Intelligence.

Each layer builds on the one before, from proven detection to genuine understanding.

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1.

Advanced video analytics

High-quality detection across all major security and operational needs.

2.

Deep learning

Better, more comprehensive image analysis and classification over time.

3.

Self-learning

Situational awareness, learning what is normal for each environment.

4.

Generative AI

Contextualisation, reasoning and natural-language prompting.

Intelligence engines that turn video into rich operational insight.

Tailored solutions for the unique challenges of transport and logistics operations.

Deep and self-learning engines

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Unusual Behaviour

UB self-learns what "normal" looks like for each camera view, then alerts in real time on whatever deviates, with no rules to configure. It typically reduces 24 hours of footage to a few minutes of events of interest, surfacing relevant activity conventional analytics would miss, including events nobody thought to define.

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TREX (Threat Ranking and Extraction):

A target-tracking engine that detects and tracks objects from short to ultra-long range for intrusion and cross-line detection. Noise reduction is built in thanks to self-learning. By learning the scene's normal patterns, it can distinguish real moving targets from interference like swaying vegetation, water ripples or changing light.

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Advanced object classification

Fit for many use cases, and especially vital for accurate weapon and shooter detection.

Aurora generative AI

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Aurora Frame

Our generative AI contextualises events, pre-verifies alerts, and lets you search footage and configure rules in plain language.

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Aurora Flow:

Our most powerful gen AI that understands and contextualises motion, enabling detection and analysis of complex actions and behaviours.

Keep up with our latest news and articles.

Learn more about our products, partners and the future of video intelligence.

From obscurity to clarity: the story behind the Eluviant brand

Act on live alerts while analysing historical patterns for insights

July 27, 2026
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New name. Same mission. Introducing Eluviant.

Act on live alerts while analysing historical patterns for insights

July 13, 2026
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Everything You Need To Know About AI And How It’s Changing The Way We Interact With CCTV

Act on live alerts while analysing historical patterns for insights

July 13, 2026
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Video Intelligence fundamentally changes what is possible in surveillance.

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.

VIDEO ANALYTICS (the old world)
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Has to be told what to look for

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Sees in black and white

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Cares about accuracy

not allow

A series of point solutions

VS
VIDEO ANALYTICS (the old world)
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Learns what is normal and what is not

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Sees the shades of grey

AI

Cares about relevance

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Deeply integrated and comprehensive

 Why Eluviant

1.

Built for the unexpected.

Our models are not bound by hard rules, giving unrivalled use-case flexibility, far beyond earlier generations of analytics.

2.

Faster decisions and response.

Our models are not bound by hard rules, giving unrivalled use-case flexibility, far beyond earlier generations of analytics.

3.

Scalable and hardware-efficient.

Our models are not bound by hard rules, giving unrivalled use-case flexibility, far beyond earlier generations of analytics.

4.

Tailored to how you run.

Our models are not bound by hard rules, giving unrivalled use-case flexibility, far beyond earlier generations of analytics.

Warehouse aisle with tall shelves storing boxes, a person handling a box, and a forklift carrying a load.
Warehouse aisle with tall shelves storing boxes, a person handling a box, and a forklift carrying a load.
Warehouse aisle with tall shelves storing boxes, a person handling a box, and a forklift carrying a load.
Warehouse aisle with tall shelves storing boxes, a person handling a box, and a forklift carrying a load.

Frequently asked questions

We know you have questions. Here are the answers to the most common ones about Eluviant and our video intelligence platform.

What is video intelligence?

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.

How is video intelligence different from video analytics?

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.

What is Unusual Behaviour detection, and why does it matter?

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.

Do I need to write rules or train the system?

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.

What does generative AI add?

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.

Can it run air-gapped, with no internet connection?

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.