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Average Ratings 0 Ratings
Description
DA SmartQuest is a specialized application that connects your PC drives with DA Drive Analyzer’s AI-powered health prediction system. By uploading only drive health data—not personal information—to secure cloud servers, it enables advanced analysis and failure forecasting. After approximately 24 hours of data collection, users receive AI-driven and threshold-based alerts directly in the app, helping to anticipate potential drive issues early. The application also offers detailed health metrics accessible through an online portal called DA Portal, providing in-depth insights. Recognizing security needs, DA SmartQuest can be configured to run in offline mode, ensuring no data leaves the device. This flexibility makes it suitable for environments with strict data policies or limited internet connectivity. The combination of AI alerts and comprehensive health data makes DA SmartQuest a valuable tool for proactive drive maintenance. It empowers users to monitor and protect their PC drives efficiently.
Description
Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
AWS Fargate
AWS Lambda
Amazon EKS
Amazon S3
Amazon Web Services (AWS)
Asana
Chronosphere
GitHub
Google Cloud Dataflow
Google Compute Engine
Integrations
AWS Fargate
AWS Lambda
Amazon EKS
Amazon S3
Amazon Web Services (AWS)
Asana
Chronosphere
GitHub
Google Cloud Dataflow
Google Compute Engine
Pricing Details
$5 per year
Free Trial
Free Version
Pricing Details
$10 per month
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
ULINK Technology
Founded
2001
Country
United States
Website
ulink-da.com
Vendor Details
Company Name
Sedai
Country
United States
Website
www.sedai.io/platform
Product Features
Product Features
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Incident Management
Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management
IT Alerting
Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis