Sold by: MeghaAI RAINÂ
Deployed on AWS
AWS Free Tier
MeghaAI RAIN (Rapid Actionable Insights Navigator) to enable a digital twin of the plant floor, visualize machine insights, and deploy machine learning models to monitor asset health.
Overview
A great product for Insights and AI/ML. MeghaAI RAIN (Rapid Actionable Insights Navigator) to enable a digital twin of the plant floor, visualize machine insights, and deploy machine learning models to monitor asset health.
Highlights
- Asset Navigator
- Insights Generator: configurable dashboard with real time data
- AI/ML based anomaly detection, diagnosis, and conditional monitoring
Details
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Delivery method
Delivery option
MeghaAI Template
Latest version
Operating system
AmazonLinux 2015.05.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on a fixed subscription cost. You pay the same amount each billing period for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- $833.33/month
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
MeghaAI Template
A great product for Insights and AI/ML. MeghaAI RAIN (Rapid Actionable Insights Navigator) to enable a digital twin of the plant floor, visualize machine insights, and deploy machine learning models to monitor asset health.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
First Release
Additional details
Usage instructions
in cloudformation service, “Outputs” under the created Stack and select the link associated with the key “websiteURL”
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours email: support@meghaai.com ; phone:1-833-634-4281
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By MeghaAI RAIN
By Xecta Digital Labs
By Arize AI
Top
10
In Industrial IoT
Top
100
In Analytic Platforms
Top
25
In Observability, Software Development
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
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Positive reviews
Mixed reviews
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AI generated from product descriptions
Digital Twin Simulation
Enables comprehensive digital representation of plant floor infrastructure and machinery
Machine Learning Model Deployment
Supports deployment and monitoring of machine learning models for predictive maintenance
Real-time Data Visualization
Provides configurable dashboard with live data streaming and insights generation
Anomaly Detection
Utilizes AI/ML algorithms for detecting, diagnosing, and monitoring asset health conditions
Asset Performance Tracking
Offers comprehensive navigation and monitoring capabilities for industrial assets
Data Infrastructure
Leverages cloud-based, distributed data infrastructure with continuous streaming analytical models
Sensor Data Processing
Processes historical and real-time rate-pressure information from hundreds of field sensors
Autonomous Well Modeling
Creates autonomous well-twins that compute pressure evolution and reconstruct well history across different production stages
Machine Learning Calibration
Implements self-driving models with recursive learning procedures for continuous sensor data calibration
Analytical Workload Management
Supports highly distributed analytical workloads for comprehensive well performance analysis
Model Performance Monitoring
Automated monitoring platform for detecting and troubleshooting machine learning model performance issues in real-time
Drift Detection
Comprehensive tracking of prediction, data, and concept drift across multiple model facets with hourly-level granularity
Data Quality Validation
Automated checks for detecting missing, unexpected, or extreme values in model input and output datasets
Model Interpretability
Advanced feature importance analysis using SHAP techniques to explain model prediction distributions
Visualization and Analytics
Dynamic data visualization with pre-configured and customizable dashboards for statistical distribution and performance heatmap analysis
Standard contract
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