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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DeviceWatch directly polls devices such as switches, routers, firewalls, access points, and servers using standard SNMP without the need for agents, collectors, or cloud accounts. It monitors a range of metrics, including reachability, interface performance, traffic levels, errors, CPU usage, memory, disk space, temperature, fan functionality, and power supply status. The on-device AI, which operates independently and keeps all data local, establishes a traffic baseline for each interface and adapts to the patterns of alarm dismissals by operators to reduce unnecessary email notifications, while also predicting when storage or network links may be nearing capacity. It interprets vendor-specific thresholds in accordance with the way each manufacturer specifies them. Users can enjoy a 30-day free trial, after which a single license allows management of up to 250 devices across macOS, Windows, and Linux platforms, making it a flexible solution for various environments. Ultimately, DeviceWatch stands out as an efficient tool for comprehensive device monitoring without compromising data security.

Description

Make the switch to server-less AI effortlessly and start cutting costs immediately. Our solution is compatible with any NPU device and operating system. ZETIC.ai addresses the challenges faced by AI companies by providing on-device AI solutions powered by NPUs. You can finally eliminate the high costs associated with maintaining GPU servers and AI cloud services. Our server-less AI framework significantly lowers your expenses while streamlining operations. The automated pipeline we offer guarantees that the transition to on-device AI is completed in just one day, making it simple and efficient. We deliver a customized AI pipeline that encompasses data processing, deployment, hardware-specific optimization, and an on-device AI runtime library, facilitating a smooth switch to on-device AI. You can easily integrate targeted on-device AI model libraries through our automated process, which not only cuts down on GPU server expenses but also enhances security with serverless AI solutions. Our innovative technology at ZETIC.ai allows for the seamless transfer of AI models to on-device applications without compromising quality, ensuring that your AI capabilities remain robust and effective. By adopting our solutions, you can stay ahead in the fast-evolving AI landscape while maximizing your operational efficiency.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Android No 
Apple iOS No 
Arm Allinea Studio No 
Kotlin No 
Swift No 
TensorFlow No 

Integrations

Android Yes 
Apple iOS Yes 
Arm Allinea Studio Yes 
Kotlin Yes 
Swift Yes 
TensorFlow Yes 

Pricing Details

$999/year, up to 250 devices
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

MeshWatch

Founded

2026

Country

Singapore

Website

meshwatch.app/devicewatch/

Vendor Details

Company Name

ZETIC.ai

Country

South Korea

Website

zetic.ai/

Product Features

Network Monitoring

Bandwidth Monitoring No 
Baseline Manager No 
Diagnostic Tools No 
IP Address Monitoring No 
Internet Usage Monitoring No 
Real Time Analytics No 
Resource Management No 
SLA Monitoring No 
Server Monitoring No 
Uptime Monitoring No 
Web Traffic Reporting No 

Product Features

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