Powerful AI & Edge Solutions – Wherever You Work
GWEN-IOT delivers smart, secure, and scalable technology at the edge. From factory floors to remote field sites, our AI vision systems, mobile surveillance units, and IoT infrastructure work together to keep your operations intelligent and connected.
Real-Time Computer Vision for Industry
Our AI-powered vision systems are trained to detect defects, monitor workflows, and drive real-time insights on-site without heavy infrastructure. From assembly lines to quality control zones, GWEN-IOT makes machine vision plug-and-play.
Key Features:

Smarter Data Collection, Built to Scale 'GWENNIE-1'
The GWEN-IOT Gateway 'GWENNIE-1' is a modular edge device in development, built for flexible integration. Collect data from sensors, run AI models locally, and transmit insights over secure networks—all from a compact, powerful platform.
Modular Options:
Sensor integration: temperature, vibration, sound, motion
AI chipsets for local model inference
LoRaWAN/5G/Starlink connectivity
Environmental & industrial enclosures
Mobile Surveillance Units (VSaaS)
AI Security That Moves With You
Our rugged, AI-driven mobile units deliver Video Surveillance-as-a-Service (VSaaS) wherever you need it-construction sites, field assets, remote facilities, and more. With solar backup, edge AI, and Starlink uplink, no location is out of reach.
Core Capabilities:
Facial recognition, intrusion alerts, object detection
Centralized control with encrypted access
Integration with existing security systems
Real-time analytics & cloud video storage

Challenge:
A government agency overseeing rural infrastructure projects needed a reliable way to monitor multiple construction sites spread across mountainous terrain.
Solution:
GWEN-IOT deployed rugged mobile units equipped with AI-enabled cameras and satellite connectivity.
Impact:
Real-time surveillance and predictive maintenance alerts reduced site visits by 60%, saving thousands in logistics and ensuring project timelines were met.

Challenge:
A medium-sized manufacturing plant in the Caribbean struggled with inconsistent product quality and manual inspection errors.
Solution:
GWEN-IOT implemented an AI Vision system for real-time defect detection and performance tracking.
Impact:
Accuracy improved by 87%, and downtime related to quality issues dropped by 40%, unlocking greater throughput with no infrastructure overhaul

Challenge:
A local farming cooperative needed help monitoring soil, water levels, and livestock movement across hundreds of acres.
Solution:
GWEN-IOT deployed modular LoRaWAN sensor nodes with real-time dashboards.
Impact:
The farmers gained full visibility into crop conditions and livestock behavior, increasing efficiency by 25% and minimizing resource waste.
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