AI fire early warning for existing CCTV
Fire can be visible before your fire system reacts.
AI Bot Eye uses the CCTV views already covering your critical areas to detect visible fire and send the image, site and camera details to your team—so they can see what is happening and where, sooner.
An additional visual early-warning layer alongside your certified fire systems.
Deployed at real operating sites
Recognised following engineering work with Intel on running AI workloads on Intel processors. Read the announcement
The gap your cameras already reveal
Your CCTV may already see the fire. But recording is not warning.
A small fire can become visible on one of many camera feeds while nobody is watching that particular view. The problem is not a lack of cameras. The problem is that the right people may not know what the cameras already see.
01
Camera sees
Fire becomes visible in an existing CCTV view.
02
AI Bot Eye detects
Visible fire is identified along with the site and camera.
03
Team knows
The designated people receive the image, site and camera details through configured alert channels.
Yesterday it recorded the fire. Today it warns you.
50+ Live site demonstrations
Proven live on cameras already installed at real sites.
AI Bot Eye has detected controlled fires through existing CCTV views indoors, outdoors and in underground cellars. Demonstrations were often repeated at different distances and angles—sometimes five to ten times on the same camera as additional decision-makers joined to watch.
Indoor
Warehouse floor
Controlled fire test · Distant camera view · Detected through existing CCTV
Long distance
Indoor storage area
Controlled fire test · Long-distance view · Detected through existing CCTV
Daylight
Open industrial yard
Controlled fire test · Distant visible flame · Detected through existing CCTV
Daylight
Outdoor yard · Bright daylight
Controlled fire test · Wide camera view · Detected through existing CCTV
What the demonstrations showed
Certified systems stayed on. AI Bot Eye still caught the small fire on camera—typically in under 5 seconds.The controlled fires were small and already visible to the cameras while the sites’ installed fire systems had not yet activated. This is not a replacement for certified fire systems. It is an extra early-warning layer that uses the CCTV already on site—so your team can know while the fire is still small.
We don’t sell AI. We sell time.
Seconds later, the right people have the image, the site and the camera—and time to act while the fire is still small.
Sample alert flow
Same fire. Two outcomes.
Alert in UNDER 5s
Alert delivered
- Image
- Site
- Camera
The right people know what is happening and where.
WhatsApp · Dashboard · SMS · Hooter
Why teams trust it
Proven on your cameras. Adapted to your site. Connected to your response.
A successful demonstration is only the first proof. Before go-live, AI Bot Eye is adapted to the selected camera views, tested repeatedly under controlled conditions and connected to the alert and response channels your site actually uses.
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01
Adapted to each camera view
Each selected view is reviewed for angle, distance, lighting, layout, activity and known non-fire patterns—not treated as a generic feed.
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02
Proven on your own site before go-live
Controlled fire tests are repeated on your actual cameras until detection and the full alert path are proven to your team.
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03
Shows the fire, names the camera and triggers the response
The alert carries the image, site and camera to phone or local dashboard—then routes through the WhatsApp, SMS, call or siren path that site uses.
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04
Runs where your CCTV runs
AI processing can stay on-site—including isolated CCTV/NVR networks—without cloud video processing or continuous internet.
Works alongside your certified fire systems. Start with selected critical areas. Expand after the system earns confidence.
See the fire. Know the camera. Trigger the response.
Customer deployments
Trusted at real sites where response time matters.
Luxury hospitality
- Control-room assessment
- Back-of-house camera views
- Controlled escalation
Visual fire and smoke context from existing camera feeds helps the control room assess the event before wider escalation.
Read the Leela Palace deployment
Chemical & electrical zones
- Electrical panels
- Chemical zones
- Hooter + mobile alerts
“We use AI Bot Eye to monitor critical areas like chemical zones and electric panels. The hooter and mobile alerts give us confidence.”Read the Rolex Rings deployment
From selected critical areas to large multi-camera deployments.
Prove it before you deploy it
Check the view. Learn the site. Prove it works. Go live.
Identify priority risk areas and confirm the camera views to activate.
Adapt detection around actual lighting, layout, activity and operating conditions.
Run controlled demonstrations and validate detection, alert delivery and recipient routing.
Activate selected camera views and connect them to the site’s response process.
Start with selected critical areas. Expand after the system earns confidence.
More from the cameras you already have
Start with fire early warning. Extend when your site needs more.
Site security
Intrusion detection and restricted-area monitoring.
Intrusion detection →Industrial operations
Stack-light monitoring and selected process visibility.
Stack Light Monitoring →Access, PPE and people analytics
ANPR, PPE compliance and selected people analytics.
Explore related modes →FAQ
Questions buyers ask before a demo.
Can AI Bot Eye work with our existing CCTV cameras?
AI Bot Eye begins with the CCTV views already covering your priority areas. During evaluation, the team reviews the camera angle, visibility, distance, lighting and site conditions before selecting the views to activate.
Does AI Bot Eye replace our existing fire alarm system?
No. AI Bot Eye adds a camera-based visual early-warning layer alongside certified fire detection and protection systems.
What does the team receive when fire is detected?
Designated recipients can receive the event image, site and camera through configured channels such as WhatsApp, dashboard, SMS and hooter.
Can it operate without internet?
Detection processing can remain on-site. Local hooter and SMS-based alert paths can be configured without internet connectivity. Connected channels such as WhatsApp and cloud dashboards require the relevant network access.
How do we know it will work at our site?
AI Bot Eye is evaluated through controlled demonstrations on your own camera views. Detection and the full alert path are tested before a deployment is proposed.
Does video need to leave our facility?
An on-site processing option is available so fire detection can operate within the customer’s facility.
Fire in sight. Alert in hand. Time to act.
Prove it on your own cameras.
We review your priority camera views, run controlled fire-detection tests and show you exactly what your team receives and where the alert goes.
Request an On-Site Demo