Verified deployment proof

Existing CCTV. Named sites. Alerts the right people can act on.

Factories, a hotel, and multi-site operations already use AI Bot Eye on cameras they had. Processing stays on-site. The alert reaches the team that site already uses.

  1. Little Angel by PAN 250 cameras. Two on-site devices. Monthly fire tests.
  2. Rolex Rings Hooter and mobile alerts on existing CCTV.
  3. Kwalichem Siren only at the detecting site.
  4. Marwadi Location-specific alerts. On-site processing.
Controlled AI fire-detection tests in the electrical room and locker room at Little Angel by PAN
Electrical room and locker room. Controlled tests, 15 August 2026.

01 · Manufacturing · Multi-device

Little Angel by PAN logo

Little Angel by PAN

250 cameras. Two edge devices. One coordinated on-site deployment.

250
CCTV cameras covered
2
On-site AI Bot Eye devices
Monthly
Controlled fire tests

Two on-site AI Bot Eye devices process the facility's CCTV estate in the data-centre room. Camera Health is active. Alerts stay coordinated through one site-level notification workflow, including WhatsApp.

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Manufacturing Fire Detection Camera Health

AI Bot Eye deployment at Rolex Rings Limited manufacturing site
Rolex Rings Limited. CNC manufacturing. Critical-zone visibility.

02 · Manufacturing · CNC

Rolex Rings Limited logo

Rolex Rings Limited

Fire built trust. Stack Light proved the platform.

"We use AI Bot Eye to monitor critical areas like chemical zones and electric panels. The hooter and mobile alerts give us confidence."

Bharat Madeka Director, Rolex Rings Limited
Fire
Critical-zone fire and smoke on existing CCTV
Stack Light
Machine signals where the camera can see them
Response
Local siren, SMS, control-room dashboard
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Fire Detection Manufacturing Stack Light Rolex Rings

03 · Multi-site chemical

Kwalichem logo

Kwalichem

Fire at that site. Siren at that site.

Pigment plants across sites needed to know which site, camera and team should respond. Edge AI on selected CCTV/NVR feeds. Central dashboard and SMS. The siren activates only at the detecting site.

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Chemical plants Kwalichem

04 · Textile spinning

Fiotex Cotspin logo

Fiotex Cotspin

A difficult mill. They kept testing.

Cotton, dust, haze and machinery. AI fire and smoke on existing CCTV, with on-site siren and SMS. The site learned, adapted, and ran controlled tests on different cameras about once or twice a month - continued validation over around two years.

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Manufacturing Fiotex

05 · Hospitality

The Leela Palace New Delhi logo

The Leela Palace New Delhi

The control room checks it. Then the hotel's own process takes over.

Fire and smoke visibility with local processing, so the control room can assess the camera before the hotel follows its own response path.

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Hotels Fire Detection

06 · Distributed enterprise

Eastman Auto and Power logo

Eastman Auto & Power

Many sites. One desk.

Offices, plants, warehouses and godowns. Fire and smoke as the safety anchor, Area Clearance where movement in designated areas matters, and one central view of the events.

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Fire Detection Warehouses

Lakhan Bambhania of Marwadi Shares and Finance

07 · Privacy-first corporate

Marwadi Shares and Finance logo

Marwadi Shares & Finance

"With AI Bot Eye, we get immediate fire alerts pinpointing the exact location. Our team can now respond faster across multiple floors."

Lakhan Bambhania CTO, Marwadi Shares & Finance

Processing stayed on-site. Alerts reached the local dashboard and SMS. A person verifies before the siren.

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Next step

None of these is your site.

Bring the camera views you worry about most. We check the views, learn the site, prove the alert path, and activate only what has been proven.

Prove It on Your Cameras

AI Bot Eye works alongside certified fire systems. It does not replace them.

  1. 01Check the viewConfirm the camera can see the risk.
  2. 02Learn the siteLighting, layout, and what is not a fire.
  3. 03Prove it worksDetection, location, and the alert path.
  4. 04Go liveOnly the views that have been proven.