Sold by: Mphasis
Deployed on AWS
i2i is an AI-powered data analytics platform that connects to your Cube Cloud semantic layer and automatically generates exploratory data analysis, testable hypotheses, insightful reports, and publication-ready visualizations, all driven by a single natural-language business goal. Powered by Claude Sonnet (AWS Bedrock) and deployed entirely within your AWS account via Amazon ECS Fargate and MWAA, i2i delivers end-to-end automated intelligence pipelines without requiring any data science expertise.
Overview
i2i Intelligence Platform - Automated AI Analytics from Goal to Insight
i2i transforms a plain-language business goal into a complete intelligence package in minutes. After you describe what you want to understand about your data, i2i automatically generates a targeted set of exploratory data analysis (EDA) questions, queries your live Cube Cloud semantic layer for answers, formulates and validates testable business hypotheses, produces a structured analytical report with key insights and an executive summary, and renders publication-quality visualizations, all without writing a single line of code or SQL.
The platform is built on a LangGraph multi-agent pipeline orchestrated by Amazon MWAA (Managed Apache Airflow). Each stage (EDA question generation, EDA answering, hypothesis generation and validation, report synthesis, and plot generation) runs as a parallel, fault-tolerant Airflow task. Within each task, an LLM-powered planner (Claude Sonnet via AWS Bedrock) generates a step-by-step execution plan, a plan executor decides whether to fetch data via Cube's SQL API or run Python analytics code, and a tool executor carries out the action. All results are persisted to S3 with KMS encryption. The React-based UI lets business users submit goals, monitor pipeline progress in real time, and explore the final EDA Q&A, hypothesis findings, narrative report, and interactive charts in a single dashboard.
i2i is a fully AWS-native container product. It deploys into your own AWS account via a CloudFormation template, runs on Amazon ECS Fargate (no EC2 instances to manage), stores all outputs in your own S3 bucket, and reads credentials exclusively from AWS Secrets Manager. No data ever leaves your AWS environment. The platform ships as six pre-built container images (common gateway, i2i analytics engine, tool-api executor, utils service, React UI, and one-time setup) and is production-ready with an Application Load Balancer, HTTPS/TLS support via ACM, AWS Cloud Map service discovery, and CloudWatch logging out of the box.
Highlights
- From Business Goal to Full Insight Report - Automatically. Submit a plain-English goal; i2i generates EDA questions, validates hypotheses, writes a structured analytical report with key insights and executive summary, and renders publication-ready charts, all in a single automated pipeline powered by Claude Sonnet on AWS Bedrock. No SQL, no code, no data science expertise required.
- Fully AWS-Native, Secure & Zero-Infrastructure. Deploys into your own AWS account via CloudFormation in under 15 minutes. Runs on ECS Fargate with no EC2 instances to manage. All data stays in your S3 bucket, encrypted with KMS. Secrets stored in AWS Secrets Manager. Private VPC service discovery ensures inter-service traffic never leaves your network perimeter.
- Plug-and-Play Cube Cloud Integration. Connects directly to your existing Cube Cloud semantic layer via REST and SQL APIs - no ETL pipelines, no data copying, no custom connectors. i2i reads your data model metadata at deploy time and uses it to generate precisely targeted queries, making every analysis grounded in your authoritative business definitions and governed data.
Details
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Delivery method
Supported services
Delivery option
ECS Fargate : Five-Container Analytics Platform
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Description | Cost/unit |
|---|---|---|
EDA Requests | Full analysis pipeline run: EDA, hypothesis generation, report, and plot creation. | $2.00 |
Data QA Requests | Single ad-hoc natural language query answered against the semantic layer. | $0.10 |
Vendor refund policy
We currently do not offer refunds. However, we are committed to customer satisfaction, please reach out to our support team with any concerns and we will work to address them.
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) .
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Delivery details
ECS Fargate : Five-Container Analytics Platform
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial release of the i2i Intelligence Platform (CloudFormation on ECS) with updated MWAA configurations
Additional details
Usage instructions
Complete all prerequisites before launching the CloudFormation template. Estimated preparation time: 30-60 minutes (one-time setup). Refer to the linked **[i2i Customer Installation Guide](https://aws-mph-eula-artifacts-022025-pub.s3.us-east-1.amazonaws.com/i2i_Architecture_and_Workflow_Documentation.pdf)** for full CLI commands and step-by-step details for every item below.
Before Launching
| Step | Prerequisite |
|---|---|
| 1 | AWS region - choose a single region for all resources. Supported: us-east-1, us-east-2, us-west-2, eu-west-1, eu-central-1, ap-southeast-1, ap-northeast-1. |
| 2 | VPC and subnets - a VPC with DNS resolution and DNS hostnames enabled; at least two public subnets (different AZs) for the ALB and ECS tasks; at least two private subnets for MWAA. |
| 3 | Security groups - pre-create two security groups: an ALB SG (inbound TCP 80/443 from your CIDRs) and an ECS SG (inbound TCP 80 from the ALB SG; self-referencing rule for inter-service traffic). Note both IDs. |
| 4 | S3 bucket - create a bucket in your deployment region for pipeline outputs. Block Public Access must remain ON. |
| 5 | Secrets Manager - store your Cube.js API token as i2i/cubejs-api-secret and your Cube DB password as i2i/cube-db-password. Note the full ARNs including the random suffix. |
| 6 | Cube Cloud - collect your REST API URL, SQL API host, deployment name, and DB username from the Cube Cloud console. |
| 7 | MWAA name - decide the name for your MWAA environment (e.g. i2i-prod) and note it as the MwaaEnvName parameter value. Do not create the environment yet - it must be created after CloudFormation completes. |
| 8 | Bedrock model access - request access to model ID us.anthropic.claude-sonnet-4-5-20250929-v1:0 via AWS Console → Bedrock → Model access. Status must show Access granted before the platform can run. |
Launching the Stack
After subscribing on AWS Marketplace, click Launch CloudFormation and supply the values collected above. Check the IAM capabilities acknowledgement and click Create Stack. The stack reaches CREATE_COMPLETE in 5-10 minutes.
From the Outputs tab, copy ApplicationURL, I2IApiUrl, and UtilsApiUrl - you will need these in the post-deployment steps.
Post-Deployment
- Create startup.sh using the template below and upload it to the root of your MWAA DAGs bucket.
-
Create the MWAA environment using the name you recorded. Place it in the same VPC and private subnets as the ECS stack. Set the Startup script file path to s3://<your-mwaa-dags-bucket>/startup.sh during the creation wizard, and enable all log types at INFO level.
-
Allow MWAA → ECS traffic - after MWAA is created, add inbound rules to the ECS security group permitting TCP ports 8085 and 8950 from the MWAA security group.
-
Upload the DAG file - copy airflow_backend.py to s3://<your-mwaa-dags-bucket>/dags/airflow_backend.py. The i2i_pipeline DAG will appear as Active in the Airflow UI within 60 seconds.
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Open the ApplicationURL in your browser - the platform is ready.
For complete CLI commands and troubleshooting guidance, refer to the linked **[i2i Customer Installation Guide](https://aws-mph-eula-artifacts-022025-pub.s3.us-east-1.amazonaws.com/i2i_Architecture_and_Workflow_Documentation.pdf)** .
Resources
Vendor resources
Support
Vendor support
For technical support, deployment assistance, or general enquiries, please contact the i2i team at Mphasis:
Website:
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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