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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.

CMS

40%+

the fall in an operator's detection rate after 20 minutes of continuous monitoring.

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3 to 5 TB

video data a 100-camera estate generates every day.

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.

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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.

Self-learning (Unusual Behaviour)

Situational awareness, learning what is normal for each environment.

2.

Deep learning

Better, more comprehensive image analysis and classification over time.

3.

Advanced video analytics

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

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

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.

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.

Advanced object classification

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

Aurora

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

Keep up with our latest news and articles

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

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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 Eluviant?

Eluviant turns your existing camera infrastructure into real-time video intelligence, helping organisations detect, classify and respond to critical events automatically.

Do I need to replace my existing cameras?

No. Eluviant adds a video intelligence layer to the cameras, recorders and VMS you already run. No rip-and-replace: your hardware stays put, the intelligence is what changes.

How quickly can Eluviant be deployed?

Because Sentry works with your existing cameras and VMS, deployment is far quicker than a full system replacement. Timelines depend on the size and complexity of your estate, so talk to us about your sites.

What types of events can Eluviant detect?

Intrusion, perimeter breaches and unusual behaviour; safety incidents like fire, smoke and missing PPE; and people, vehicles and licence plates. Because it learns what is normal for each site, it also surfaces events no one thought to write a rule for.

Does Eluviant support multiple sites and locations?

Yes. Eluviant is built for multi-site, multi-country operations. SentryMMS gives you unified camera, site and metadata management across the whole estate, from one place.

Can Eluviant integrate with our existing systems?

Eluviant turns your existing camera infrastructure into real-time video intelligence, helping organisations detect, classify and respond to critical events automatically.