Agentic AI for Data Foundation
Data Reply UK · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The Challenge
Organisations face mounting pressure to maintain robust data foundations that support AI initiatives, analytics programs, and regulatory requirements. Traditional manual approaches—spreadsheet-based mappings, hand-crafted data models, reactive governance—cannot keep pace with exponential data growth, complexity, and velocity.
Show the rest of the publisher’s description (11 more lines)
The Solution
Our GenAI-Powered Data Management Framework deploys specialized AI agents that automate critical enterprise data processes using AWS native services including Amazon Bedrock, AWS Glue, and Amazon SageMaker. Six Intelligent Agents, Deployed Your Way:
- DQ Profiler – Automated data quality assessment and anomaly detection
- DQ Recommender – Intelligent remediation suggestions based on patterns
- DQ Validator – Continuous monitoring and validation workflows - Data Modelling Agent – Automated schema generation and optimization
- S2T Mapping Agent – Source-to-target mapping with lineage tracking
- Governance Agent – Policy enforcement, compliance monitoring, and audit trails
Ideal For:
-Organizations preparing data foundations for GenAI initiatives - Enterprises managing complex data migrations or consolidations
- Regulated industries requiring continuous data quality and lineage
- Data teams seeking to scale analytics capabilities without proportional headcount growth
Highlights
Highlighted by the publisher on AWS Marketplace.
Productivity Improvement (60%) and Accelerated Time-to-Value – Intelligent automation with human-in-the-loop governance allows to Get AI-ready data in weeks, not months
Flexibility - the solution is modular & scalable – address your most pressing pain points first, then expand as needs evolve
Leverage your existing investment – seamlessly integrates with your existing AWS data ecosystem to ensure responsible AI adoption and maintaining compliance
Agent build and provenance
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Sources
Linked repositories
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