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ease
features
design
support

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Description

ET Ducky serves as a comprehensive diagnostics platform and remote monitoring management (RMM) solution tailored for both Windows and Linux endpoints. It captures kernel-level events—utilizing ETW on Windows and eBPF on Linux—and processes them on the agent, ensuring that personally identifiable information (PII) is filtered out while leveraging AI to articulate the root causes of alerts in straightforward terms. Surrounding this foundational capability are essential RMM tools that enable teams to respond effectively, including a browser-based remote desktop, threshold alerts that come with pre-explained root causes, behavioral security measures like ransomware detection and host isolation, approved-script execution, insightful reporting, multi-agent queries, and fleet management functionalities. Notably, raw event data remains on the machine, with only the curated evidence and AI-generated conclusions transmitted to the cloud. Designed specifically for IT teams and managed service providers (MSPs), it aims to significantly reduce the time taken to resolve tickets that other solutions might only address superficially, integrating RMM, application performance monitoring (APM), and behavioral detection into a single streamlined product. Users can take advantage of a free tier by bringing their own AI key, while paid plans start at $39 per month, making it an accessible option for various organizations. Each feature is crafted to enhance operational efficiency and drive effective incident management.

Description

Quickly identify and forecast outages and impairments that impact subscribers, many of which often go undetected. This process unveils the implications, sources, and underlying causes of events, allowing for prioritization and expedited fault resolution while enhancing the user experience proactively. It dynamically forecasts and identifies outages and impairments across both mobile and fixed networks, as well as in physical and virtual environments. Abnormal events that influence network performance and user satisfaction are classified, correlated, and grouped for better assessment. Fault locations are isolated, and root causes are diagnosed to enable effective, coordinated, and prescriptive measures. By consolidating and analyzing data from various source systems, it breaks down silos and provides integrated insights. Additionally, it optimizes latency, network efficiency, and service delivery through comprehensive, multi-layered anomaly detection combined with correlated analytics. The system also identifies and resolves transient degradations and recurring issues that can hinder performance, ultimately delivering a superior user experience. This proactive approach not only improves operational efficiency but also fosters customer satisfaction and loyalty.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

GitHub
Jira
ServiceNow

Integrations

GitHub
Jira
ServiceNow

Pricing Details

$39/month (free tier available
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

ET Ducky

Founded

2026

Country

United States

Website

etducky.com

Vendor Details

Company Name

EXFO

Founded

1985

Country

Canada

Website

www.exfo.com/en/products/service-assurance-platform/nova-sensai/

Product Features

RMM

Deployment Management
For MSPs
IT Asset Management
Mobile Access
Network Monitoring
Patch Management
Real-time Alerts
Remediation Management

Product Features

Alternatives

Alternatives

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