Sold by: MeghaAI RAIN
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
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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.
- Monthly subscription
- $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) .
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
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Digital Twin Technology
Enables creation of a digital twin representation of the plant floor for real-time monitoring and simulation.
Machine Learning Model Deployment
Supports deployment of machine learning models for asset health monitoring and predictive maintenance.
Anomaly Detection and Diagnosis
Implements AI/ML-based anomaly detection, diagnosis, and conditional monitoring capabilities for asset performance analysis.
Real-time Data Visualization
Provides configurable dashboard with real-time data visualization and machine insights display.
Asset Navigation and Management
Includes asset navigator functionality for tracking and managing plant floor assets.
Real-time Sensor Data Integration
Processes historized rate-pressure information from hundreds of field sensors with continuous streaming analytical models
Digital Twin Technology
Autonomous well-twins compute pressure evolution and downhole pressure for all wells, reconstructing complete operational history from natural flow to artificial lift stages
Continuous Model Calibration
Self-driving models utilize recursive learning processes to continuously calibrate well-twins against live incoming sensory data
Cloud-based Data Infrastructure
Leverages modern cloud-grade data infrastructure for distributed and continuously streaming analytical workloads
Daily Optimization Recommendations
Generates automated production optimization opportunities for individual wells on a daily basis across natural flow, artificial lift, and abandonment scenarios
Agent and Application Observability
Full visibility into AI agent behavior through tree-structured traces capturing user inputs, routing logic, tool calls, memory access, and model outputs with native support for Amazon Bedrock Agents and open-source frameworks
Prompt Optimization and Testing
Prompt IDE environment enabling design, testing, and comparison of prompt versions with live inputs, outputs, and integrated evaluation results for iterative improvement
LLM and Agent Evaluation
Offline and online LLM-as-a-Judge evaluations assessing accuracy, tool-calling, planning, and goal achievement across agent workflows
Closed-Loop Improvement Workflows
Self-improving agent capabilities combining trace analysis, evaluation feedback, and golden datasets for continuous iteration and performance enhancement
Real-Time Monitoring and Alerting
Custom metrics definition and monitoring of latency, token usage, and failures with alert configuration for production issue detection and prevention
Standard contract
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