Sold by: Apexon
iC4 is an AI-powered, cloud-agnostic data engineering and modernization accelerator that transforms the end-to-end data lifecycle using Agentic AI. It automates ingestion, curation, migration, quality monitoring, and consumption across modern data platforms. iC4’s suite of intelligent agents—including schema reverse-engineering, synthetic data generation, pipeline optimization, autonomous data quality monitoring and fixing, and GenAI-powered process migrations and document generation—reduces data estate management effort by up to 70% and accelerates modernization by over 60%. Designed for complex, multi-cloud and hybrid environments, iC4 enables faster data readiness, improved governance, and high-quality, AI-driven insights.
Overview
iC4 is Apexon’s end-to-end Agentic AI Data Engineering Accelerator designed to simplify, automate, and modernize the entire data lifecycle. Built on a metadata-driven, AI-first architecture, iC4 enables organizations to ingest, curate, govern, migrate, and consume data at enterprise scale across cloud and on-prem environments.
With a suite of specialized Agentic AI components—including Pipeline generation agents, Data Extraction Agents, Data Curation Agents, Schema drift detection Agents, Process Migration Agents, Data Quality Monitoring Agents, and Pipeline Optimization Agents—iC4 autonomously orchestrates data engineering tasks traditionally requiring significant manual effort.
The platform delivers no-code data migration, automatic ETL/ELT documentation, lineage inference, schema redesign, AI-driven data validation, and GenAI-powered code conversion for modernization. iC4 integrates seamlessly with leading platforms, enabling rapid cloud adoption.
The accelerator improves processing speeds by up to 60-80%, enhances regulatory compliance, reduces inconsistencies, and accelerates time-to-insight through conversational BI and on-demand data services. iC4 brings intelligence, automation, and reusability to every stage of data engineering, ensuring scalable, cost-optimized, and AI-enabled operations.
*Following AWS services are used in iC4. * Connector Microservice - Amazon API Gateway, AWS Lambda, AWS Secrets Manager, Amazon DynamoDB, AWS IAM, Amazon EventBridge
ELT (Extract, Load, Transform) - Amazon S3 (raw-data-bucket) , AWS Glue Crawler, AWS Glue Job, AWS Step Functions, Amazon Athena, Amazon S3 (curated-bucket)
Data Quality (DQ) Microservice - EventBridge/Step Functions, AWS Lambda, AWS Glue Data Quality / Glue DataBrew, AWS Glue Schema Registry, AWS Glue Data Quality Evaluation, Amazon A2I, Lambda / Glue Job + Bedrock Model, Glue DQ Metrics + Lambda, Amazon QuickSight + Bedrock Analyst Assistant, Amazon S3 (dq-results-bucket), Amazon Redshift
Observability Module - Amazon CloudWatch, AWS X-Ray, CloudWatch Logs, Amazon SNS, CloudWatch Dashboards / QuickSight
Visualization & Reporting Layer - Amazon Athena , Amazon QuickSight, Amazon Bedrock Agent ,CloudWatch Alarms
AI Integration Layer - Amazon Bedrock AgentCore, Amazon OpenSearch Vector Engine , Amazon Bedrock (Claude, Titan, Llama 3)
Highlights
- Agentic AI–powered accelerators automate ingestion, curation, lineage tracking, and data quality monitoring, reducing manual ETL and documentation efforts by up to 70%.
- No-code, AI-driven data modernization enables automated schema analysis, process conversion, ETL code transformation, and validation across cloud platforms like AWS, Databricks, Snowflake and Oracle Exadata.
- Conversational BI and GenAI-powered analytics provide natural language access to data, automated dashboard conversion using Gen AI accelerators, and faster decision-making through intelligent insight generation.
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