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    Agent Data Quality

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    Sold by: XenonStack 
    Agent Data Quality is a cloud-native, scalable platform designed to automate data quality governance using LLM-powered agents. Built on Amazon EKS and integrated with services like Amazon Bedrock, RDS, and S3, it enables dynamic rule validation, contextual reporting, and automated compliance enforcement—delivering trust, transparency, and operational control across enterprise data pipelines. Built on ElixirData, XenonStack's Context OS.

    Overview

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    Built on ElixirData

    Agent Data Quality runs on ElixirData, XenonStack's Context OS: the context graph, evidence and decision trace behind every enterprise decision. ElixirData records which rules ran, what failed and what was fixed, so data leaders can prove the quality of the data that feeds every AI decision.

    Key Features

    1. Automated data quality governance with LLM agents
    2. Scalable AWS-based modular architecture
    3. Multi-agent system: Check Creation, Monitoring, Reporting
    4. AI-driven rule generation & real-time validations
    5. Natural language insights via Amazon Bedrock
    6. Python + Jinja2 engine for reusable rules
    7. Secure storage in Amazon RDS & S3
    8. Dashboards powered by Amazon QuickSight
    9. Security with IAM, VPC, TLS & CloudWatch
    10. Stateless pods on Amazon EKS with auto-scaling (HPA)

    Use Cases

    1. Retail: Validate product catalog accuracy
    2. Finance: Monitor transactions & detect fraud
    3. Manufacturing: Ensure IoT & sensor data quality
    4. Logistics: Track SLAs & shipment consistency
    5. Compliance: Generate auditable quality reports

    Target Users

    1Data Engineers: Automate validation workflows 2.Data Stewards: Manage rules via simple interface 3. Compliance Officers: Access audit-ready logs 4. Governance Teams: Monitor dashboards for quality 5. Business Analysts: Use NL insights for quick issue detection

    Deployment Architecture

    1. Runs on Amazon EKS as containerized microservices
    2. Distributed agents for checks, monitoring & reporting
    3. Python + Jinja2 rule engine, triggered via Airflow/cronjobs
    4. Data stored in RDS & S3; dashboards in QuickSight
    5. Security with TLS, KMS, IAM & VPC isolation
    6. Auto-scaled workloads via Kubernetes HPA
    7. Monitoring & alerts with CloudWatch

    Benefits

    1. Automates & scales data quality governance
    2. Cuts validation time by 70%+
    3. Speeds up decisions with explainable AI summaries
    4. Strengthens compliance with audit trails
    5. Enterprise-grade security (IAM, VPC, KMS)
    6. Supports multi-tenant & cross-environment deployments
    7. Delivers continuous trust across the data lifecycle

    Part of XenonStack Decision Infrastructure: ElixirData (Context OS), ElixirClaw (Agentic OS), AgentGRC (governance, risk and compliance for AI agents) and NexaStack (physical and edge AI). Every decision follows one governed path: signal, context, policy, action and record, so risk and compliance teams can approve it for production.

    Highlights

    • Automates data quality rule creation, validation, and reporting using LLM-powered agents.
    • Integrates seamlessly with AWS services like Bedrock, RDS, S3, QuickSight, and EKS for scalable, secure operations.
    • Delivers natural language summaries and real-time dashboards for explainable, audit-ready data governance.

    Details

    Sold by
    XenonStack 
    Categories
    Quality Assurance 
    Implementation 
    Managed Services 
    Delivery method
    Deployed on AWS
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