Sold by: 10Pearls
Deployed on AWS
Turn data into predictions, instantly. Prism: Predictive Intelligence Platform delivers AI-driven analytics and ML-powered predictions across telecom, finance, and healthcare, covering customer churn, credit risk scoring, and hospital readmission risk, without the infrastructure headache. Upload your data to S3, and Prism handles everything: schema mapping, model training, and dashboard creation, delivering interactive insights that drive faster, data-driven decisions, all natively on AWS.
Overview
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Quicksight Dashboard - Churn Overview
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Quicksight Dashboard - Churn Revenue
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Quicksight Dashboard - Churn Predictions
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Quicksight Dashboard - Credit Risk Overview
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Quicksight Dashboard - Credit Defaults Overview
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Quicksight Dashboard - Readmission Risk Overview
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Sagemaker - Churn ML Pipeline
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QuickSight Q Topics - Natural Language Analytics
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QuickSight Q Topic - Top Churn Reasons
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Architecture Diagram
Many organizations recognize the value hidden in their data, but building the infrastructure required to extract insights can be complex, expensive, and time-consuming. Data pipelines, machine learning environments, and analytics dashboards often require specialized engineering effort before any real business value can be realized.
Prism: Predictive Intelligence Platform removes this barrier by providing an automated environment for predictive analytics and business intelligence across multiple industries. Organizations can upload their datasets and quickly generate insights through machine learning models that identify patterns, predict outcomes, and highlight meaningful trends within the data.
Instead of spending months building data pipelines, training machine learning models, and integrating analytics tools, teams can use Prism to move quickly from raw data to actionable intelligence. The platform automates the underlying analytics environment, allowing organizations to focus on understanding insights rather than managing infrastructure. Prism offers flexible licensing that lets you choose the use cases that match your business needs:
- Churn Prediction (Telecom): Analyze transactional data, behavioral patterns, and network signals to score subscriber churn probability and improve customer retention.
- Credit Risk Scoring (Financial Services): Enrich bureau data with transactional behavior and alternative signals to assess creditworthiness and predict loan default probability.
- Hospital Readmission Risk (Healthcare): Analyze admission data, vitals history, and social determinants to identify patients at risk of 30-day hospital readmission.
Select one, two, or all three use cases based on your requirements. Each use case delivers end-to-end analytics with insights presented through interactive dashboards that allow business teams to monitor performance indicators, identify risks, and take proactive actions to improve outcomes.
Built natively on AWS using services such as Amazon SageMaker, AWS Glue, and Amazon QuickSight, Prism is deployed directly within your AWS account and provides a fully managed analytics environment without the operational complexity of maintaining infrastructure. Once deployed, the platform automatically processes incoming datasets using scalable data pipelines, trains predictive models through SageMaker, and delivers insights through interactive dashboards in QuickSight. This enables teams to continuously monitor risk, identify trends, and make faster data-driven decisions using the latest insights.
By simplifying the path from data to predictive intelligence, Prism enables organizations across industries to make faster, smarter decisions and unlock the full value of their data.
Highlights
- Generate descriptive and predictive insights from your data without building complex data pipelines or managing machine learning infrastructure.
- Automatically process datasets, train models, and deliver insights through interactive dashboards.
- Accelerate decision-making with real-time analytics dashboards across telecom, finance, and healthcare use cases.
Details
Sold by
Delivery method
Delivery option
Prism Installer Template
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
1 Use Case | License for any 1 Prism use case of your choice (Churn Prediction, Readmission Risk, or Credit Risk) | $199.00 |
2 Use Cases | License for any 2 Prism use cases of your choice (Churn Prediction, Readmission Risk, or Credit Risk) | $349.00 |
3 Use Cases | License for all 3 Prism use cases (Churn Prediction, Readmission Risk, and Credit Risk) | $499.00 |
Vendor refund policy
Fees are non-refundable except as required by law. Refund requests must be submitted through AWS Marketplace. AWS refund policies apply to any eligible requests. For additional information, contact aws-platform-support@10pearls.com .
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
Prism Installer Template
Prism: Predictive Intelligence Platform is a serverless data lakehouse and MLOps platform deployed entirely within your own AWS account. It is delivered via an AMI-based CloudFormation installer. A temporary EC2 instance boots, runs a full CDK deployment into your account, signals success to CloudFormation, and self-terminates. You are left with an end-to-end analytics infrastructure.
How the Installer Works:
The AMI contains Python 3.12, Node.js, AWS CDK, and the full CDK application. On launch, the instance reads your parameters from UserData, syncs platform assets from the Seller S3 bucket into your own bucket, and deploys all stacks. The installer stack also provisions a small set of supporting resources, including an S3 bucket (prism-customer-assets-bucket) in your account to store copied deployment assets. A Lambda-based cleanup function ensures this bucket is automatically emptied and deleted when the installer stack is removed. The template also creates a VPC with a public subnet, route table, and internet gateway, along with a security group that allows outbound access to AWS APIs. An IAM role and instance profile grant the installer EC2 instance permissions to read assets from the seller bucket, write to the customer bucket, deploy CDK stacks, and signal CloudFormation on completion.
These installer resources exist only to bootstrap the platform deployment and are not part of the final analytics platform.
What Gets Deployed as part of Prism platform:
Platform Stack (Root): The top-level root orchestration stack that deploys and wires together all nested stacks. It reads configuration parameters, provisions shared IAM roles and environment configuration, and ensures dependent stacks are deployed in the correct order.
Nested Stacks:
- Network Stack - Security groups and optional VPC interface endpoints for services such as SQS, SageMaker, Step Functions, Glue, and CloudWatch Logs. Gateway endpoints for S3 and DynamoDB allow private workloads to access these services without requiring internet access.
- Storage Stack - S3 buckets (Raw, Analytics, Artifacts, ML, Athena Results), DynamoDB schema registry table, Glue Data Catalog database, and least-privilege IAM roles.
- Data Stack - Creates EventBridge rules, scheduler, SQS queues, Lambda functions, DynamoDB table, and the step function that orchestrates batch preprocessing and Apache Iceberg Glue ETL jobs as per your configured pipeline scheduler rate (default 1 hour).
- ML Stack - SageMaker Pipelines for XGBoost and LightGBM training with hyperparameter tuning, evaluation, and model registration. Batch Transform for inference. A Step Functions routes between training and inference runs.
- QuickSight Stack - Two Lambda functions automatically create and maintain QuickSight dashboards.
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
New Use Cases: Hospital Readmission Risk workflow: Predict 30-day readmission risk for hospital patients at discharge, powered by clinical vitals, lab results, comorbidities, and social determinants. Credit Risk Scoring workflow: Evaluate borrower default probability using credit bureau data, transactional behaviour, and alternative signals.
Infrastructure Changes: Bedrock schema inference updated to Meta Llama 4 Maverick; QuickSight Q synonym generation uses Amazon Nova Pro.
Additional details
Usage instructions
Detailed guidelines are present on Prism User Guide Section 3 (available in the Resources section).
Before You Launch
- Confirm your AWS Marketplace subscription tier (1, 2, or 3 Usecases) to ensure you enable the correct number of use cases during deployment.
- Activate Amazon QuickSight in your AWS account. Note your QuickSight username and IAM service role name (default: aws-quicksight-service-role-v0).
- Complete the CDK bootstrap steps in your account before deployment. See Section 3.3.
- Verify quota checks for SageMaker and Bedrock to ensure required service limits are met in us-east-1, or request increases before deploying. See Section 3.2.
- Optional: To view SageMaker ML pipelines visually, create a SageMaker Domain. See Section 5.6.
Launch Parameters
- Enabled Use Cases: Choose which use cases to enable (Churn Prediction, Credit Risk, Readmission Risk). The number of enabled use cases must not exceed your purchased license tier. The deployment will validate your selection against your AWS Marketplace subscription.
- Training Dataset Size Tier: Select your data tier before choosing instance types. The stack will fail if instances are too small. See Section 4.1 for the full tier table.
- Pipeline Schedule: Controls how often the batch pipeline runs (default: 1 hour).
- Minimum AUC Threshold: The model quality gate - the model only deploys if it meets this score on the test set.
- VPC Options: Three modes are available - USE_DEFAULT (simplest, uses AWS default VPC), CREATE_NEW (recommended for production, set NAT Gateways to 0 to use VPC Endpoints for lower cost), and USE_EXISTING (requires your VPC ID, private subnet IDs, and route table IDs). See Section 4.2 for full details.
- QuickSight Service Role Name: Find it in IAM > Roles > search "quicksight".
- QuickSight Username/Email: Find it in QuickSight > profile icon > Manage QuickSight.
- Admin Email: Email address to receive important product/subscription-related notifications.
Resources
Vendor resources
Support
Vendor support
Customers can reach our support team at aws-platform-support@10pearls.com for product assistance, troubleshooting, and feedback via email. Our team will respond to inquiries related to platform usage, deployment, and general product questions.
We welcome customer feedback to help improve the platform and guide future enhancements.
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.
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