Certified Startup
PERLEYBROOK AI LABS PRIVATE LIMITED
Sector:
Electronics and Communication
Business Model:
B2B B2G
Industry:
Manufacturing
Technology:
AI / ML Internet of Things (IoT) Manufacturing
About
Incorporation Date
Nov 27, 2025
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Ernakulam
Registered Address
PALMANS CENTER 2ND FLOOR , PUTHIYA ROAD PO THAMMANAM, Ernakulam, Ernakulam, Kerala
Office State
Kerala
Office District
Ernakulam
Office Address
43/4113 Palmans Center Puthiya Road Junction Mahakavi Vailoppilli Road Thammanam Kochi Municipal Corporation
Team
Triny Anto Antony
Other Core Team member
Melson J Zacharias
Co-founder
FLAGMAN NEO
Flagman is an AI and computer vision–based industrial safety platform that autonomously prevents accidents by detecting unsafe human–machine interactions and stopping machinery in real time at the edge. It integrates with existing systems, reduces accident risk by up to 50%, and transforms safety into a data-driven productivity driver.
Sector:
Electronics and Communication
Industry:
Manufacturing
Business Models:
B2B B2G
Technology:
AI / ML Internet of Things (IoT) Manufacturing

Flagman is an AI and computer vision–based Industry 5.0 industrial safety platform designed to autonomously prevent workplace accidents in manufacturing and logistics environments.

What It Does

Flagman continuously monitors human–machine interactions using standard industrial cameras and proprietary AI algorithms. When unsafe behaviour is detected, it can physically intervene in real time by stopping machinery, triggering alerts, or activating safety systems—before accidents occur.

How It Works

*Operates fully at the edge (no cloud dependency required)
*Uses IP/USB cameras as intelligent vision sensors
*Integrates directly with braking systems, PLCs, SCADA, and E-Stops
*Processes video data using embedded GPU-powered hardware
*Provides real-time dashboards, safety scoring, and compliance reporting

Key Capabilities

*Pedestrian detection for forklifts and moving equipment
*Machine guarding with virtual safety perimeters
*PPE compliance monitoring
*Hand and finger safety detection for saws/grinders
*Conveyor belt human detection and stoppage
*Fire and smoke early detection
*Incident-based training and behavioural analytics
*Process Monitoring

Business Model

*OEM integrations with per-unit licensing
*Retrofit device sales with annual software licenses
*Subscription-based deployments via system integrators and equipment leasing partners

Impact

*Up to 50% reduction in accident risk
*ROI within 6 months
*Reduced downtime and compliance burden
*Converts safety into a measurable, data-driven productivity driver

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