Data Cosmos Agentic Data Quality Resolver – AI-Driven Data Engine
Coforge Limited · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Overview
The Agentic Data Quality Resolver is an intelligent data reliability platform designed to transform how organizations manage data quality across cloud-scale data ecosystems. Leveraging a multi-agent AI architecture, the platform continuously analyzes datasets, detects anomalies, identifies root causes, and applies governed remediation actions to improve trust and reliability in enterprise data. Built to integrate seamlessly with AWS-native modern data platforms, it minimizes manual intervention and accelerates issue resolution.
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Core Capabilities
- Automated Detection of Data Quality Issues
The platform evaluates ingested datasets to identify a wide range of quality issues, including:
- Missing or null values
- Invalid or inconsistent formats
- Duplicate records
- Stale or out-of-date data
- Schema inconsistencies
- Referential integrity violations
Each issue is classified based on severity, impact and data governance rules.
- Agentic AI Architecture Powered by Amazon Bedrock
Specialized AI agents—each focused on a specific data quality dimension—collaborate under the supervision of a central orchestration agent. Examples include:
- Completeness Agent (missing values, null checks)
- Accuracy Agent (incorrect or inconsistent data)
- Validity Agent (format violations, type mismatches)
- Timeliness Agent (stale or outdated data detection)
- Uniqueness Agent (duplicate detection)
Amazon Bedrock foundation models provide reasoning, pattern detection and remediation strategy generation.
- Root Cause Analysis & Remediation Planning
The orchestration agent consolidates findings from the specialized agents and determines corrective actions based on:
- Confidence scores
- Data impact analysis
- Governance rules and approval workflows
The platform generates remediation plans covering strategies such as value imputation, deduplication, schema alignment, and referential correction.
- Governed Remediation Workflows
Depending on enterprise governance needs, the solution supports:
- Fully automated remediation
- Human-in-the-loop review
- Partial/manual approval flows
- Versioning and audit tracking of corrections
This ensures that sensitive datasets or low-confidence resolutions follow governance standards.
- Cloud-Native Deployment on AWS
The Agentic Data Quality Resolver runs as a secure, containerized application on Amazon EKS, enabling:
- Elastic scalability
- Multi-team isolation
- High availability and operational security
- Seamless integration with AWS storage, processing and analytics stacks
Business Benefits
- Dramatically reduces manual investigation time for data quality issues
- Provides proactive, intelligent data quality monitoring and remediation
- Enhances trust in enterprise data and downstream analytics
- Supports compliance and governance through auditable workflows
- Scales efficiently across large, dynamic AWS-based data platforms
The Agentic Data Quality Resolver helps enterprises evolve from reactive data quality firefighting to an automated, proactive, and governed data reliability model.
Highlights
Highlighted by the publisher on AWS Marketplace.
Agentic AI-based data quality detection and remediation, powered by Amazon Bedrock
Diagnoses and resolves issues such as missing values, duplicates, invalid formats, stale data and schema inconsistencies
Governed remediation workflows supporting automated and human-in-the-loop corrections
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
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