Data Management Platform for Financial Institutions

The platform solves the critical challenge of maintaining accurate, compliant entity data across financial institutions. Banks often struggle with fragmented customer information across systems, manual data quality processes, and evolving regulatory requirements such as FR 2052A and Anacredit. Our solution provides a unified, automated approach to entity resolution that ensures data accuracy, regulatory compliance, and operational efficiency.

Our platform ensures data quality through multiple layers of assurance:

• AI-powered address parsing and validation.
• Automated workflows for data quality checks.
• Built-in referential integrity mechanisms.
• Alerts for incorrect enrichment or anomalous changes.
• Automatic validation of attributes during enrichment.
• Comprehensive version history of all entity changes.

Unlike traditional solutions that focus solely on matching algorithms, our platform offers:

• AI intelligence that extracts entity information from unstructured data sources.
• Controlled hierarchy restrictions for precise relationship mapping.
• Regulatory-specific attributes built into the data model.
• Smart dashboards that provide real-time productivity and accuracy metrics.
• Multi-tenant architecture that supports enterprise-wide deployment.
• Version history of both entities and their supporting evidence.

The platform includes pre-built attributes and validations for key regulations such as FR 2052A and Anacredit. The automated workflow ensures all entity data meets regulatory standards before submission. Additionally, the platform maintains comprehensive version histories and evidence documentation, creating a clear audit trail for regulators.

AI powers several key capabilities:

• Document intelligence using GenAI to extract entity information from unstructured documents.
• Address parsing and standardization across global formats.
• A matching engine that continuously improves through ML.
• Anomaly detection for identifying unusual patterns in entity data changes.
• Smart validation rules that adapt based on data patterns.
• Agentic RAG for getting thoroughly vetted inputs.

Early adopters have reported:

• Faster regulatory reporting cycles.
• Improved data quality.
• Improvement in entity match accuracy.
• Reduction in compliance-related costs.

Data from systems can be seamlessly transferred through preferred modes such as API, FTP, or other desired routes.

The platform implements bank-grade security, including:

• End-to-end encryption of all data.
• Role-based access control.
• Multi-factor authentication.
• Comprehensive audit logging.
• Regular security assessments and penetration testing.
• Compliance with industry standards, including SOC2, ISO 27001, and GDPR.

The multi-tenant architecture enables:

• Consistent entity definitions across departments.
• Centralized governance while maintaining departmental flexibility.
• Cost-effective scaling as needs grow.
• Unified updates and improvements across the organization.
• Simplified maintenance and support.

The platform automates the periodic review process by:

• Scheduling reviews based on configurable risk parameters.
• Highlighting specific attributes that require verification.
• Providing workflows for reviewer approval.
• Maintaining an audit trail of all reviews.
• Escalating overdue reviews to appropriate personnel.

The API layer offers flexible consumption options where customers pay only for what they use:

• Entity resolution API calls.
• Document processing volumes.
• Data enrichment from third-party sources.
• Storage for entity records and evidence.
• Optional premium services for specialized needs.

The platform provides comprehensive alerting for:

• Updates to specific registries, sources, or documents.
• Detection of significant changes to critical entity attributes.
• Potential data quality issues that require human review.
• Upcoming periodic reviews and compliance deadlines.
• System performance metrics and potential bottlenecks.