Baselayer

Automatically verifies business entities against global registries and databases to confirm legitimacy and legal status. Uses AI matching algorithms to identify entities with high accuracy across different naming conventions and jurisdictions.

Identifies and validates beneficial owners of business entities by cross-referencing against global registries and ownership databases. Automates the process of determining who ultimately controls or owns a business.

Uses machine learning models to identify emerging fraud patterns and suspicious transaction behaviors in real-time. Continuously adapts to new fraud tactics without requiring manual rule updates.

Automates the entire Know Your Customer (KYC) verification workflow by orchestrating entity verification, beneficial ownership checks, and risk assessment in a single process. Eliminates manual data entry and document review steps.

Automates Anti-Money Laundering (AML) screening by checking entities and individuals against sanctions lists, PEP databases, and watchlists. Reduces manual screening time while improving detection accuracy.

Uses machine learning to intelligently filter out false positives in compliance screening, reducing unnecessary manual reviews while maintaining security. Learns from historical false positives to improve accuracy over time.

Provides REST APIs and webhooks to integrate Baselayer's verification and fraud detection capabilities directly into existing banking, lending, and fintech infrastructure. Enables seamless data flow without custom development.

Matches business entities against comprehensive global registries and databases spanning multiple jurisdictions. Uses fuzzy matching and entity resolution to handle naming variations and incomplete data.

Automatically generates detailed audit trails and compliance documentation for all verification and screening activities. Creates records suitable for regulatory review and internal compliance audits.

Generates comprehensive risk scores for entities and transactions based on multiple factors including verification status, fraud patterns, and watchlist matches. Provides actionable risk levels for decision-making.