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Average Ratings 0 Ratings
Description
Deep Text Inspection encompasses anomaly detection and clustering, utilizing advanced AI to analyze all log data while providing real-time insights and alerts. With machine learning clustering, it identifies emerging errors and unique risk KPIs, among other metrics, through effective pattern recognition and discovery techniques. This solution offers robust anomaly detection for data risk and content monitoring, seamlessly integrating with platforms like Logstash, ELK, and more. Deployable in mere minutes, AiOpsX enhances existing monitoring and log analysis tools by employing millions of intelligent observations. It addresses various concerns including security, performance, audits, errors, trends, and anomalies. Utilizing distinctive algorithms, the system uncovers patterns and evaluates risk levels, ensuring continuous monitoring of risk and performance data to pinpoint outliers. The AiOpsX engine adeptly recognizes new message types, shifts in log volume, and spikes in risk levels while generating timely reports and alerts for IT monitoring teams and application owners, ensuring they remain informed and proactive in managing system integrity. Furthermore, this comprehensive approach enables organizations to maintain a high level of operational efficiency and responsiveness to emerging threats.
Description
CluePoints offers a cloud-based platform that utilizes AI for risk-based quality management and oversight of clinical data, employing sophisticated techniques like machine learning and deep learning to enhance the reliability, precision, and safety of data and processes in clinical trials. This platform stands out with its capability for real-time anomaly detection and centralized statistical monitoring, effectively spotting outliers and data risks that conventional methods may overlook, thereby empowering teams to proactively address risks and expedite the resolution of issues while adhering to FDA, EMA, and ICH standards. Additionally, CluePoints features tailored solutions including Risk-Based Quality Management (RBQM) for timely risk identification, Medical & Safety Review (MSR) for efficient review and query management, Intelligent Medical Coding for automated clinical coding suggestions, and Intelligent Query Detection (IQD) to facilitate the detection of discrepancies, along with tools like the Site Profile & Oversight Tool (SPOT) designed for dynamic site monitoring to ensure optimal oversight throughout the trial process. These advanced features collectively contribute to improving the overall efficiency and effectiveness of clinical trials.
API Access
Has API
API Access
Has API
Integrations
Elastic Cloud
Logstash
Pricing Details
No price information 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
XPLG
Founded
2005
Country
United States
Website
www.xplg.com/aiopsx-log-intelligence-for-application-monitoring/
Vendor Details
Company Name
CluePoints
Founded
2012
Country
United States
Website
cluepoints.com/what-we-do/
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
IT Infrastructure Monitoring
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring