Kyckr's UBO algorithm is built on a foundation of data accuracy and reliability:
Data Sources: Kyckr aggregates data from global primary government sources and corporate registries. This data is continuously updated to ensure accuracy.
Ownership Hierarchy Analysis: The algorithm analyzes a company's ownership structure to identify individuals or entities with significant ownership stakes and reveal the ultimate beneficial owners.
Structured Data: UBO information is extracted and presented in a structured format, providing clarity and organization in understanding the ownership hierarchy.
Compliance Integration: Kyckr's UBO algorithm is designed to align with compliance and regulatory requirements, streamlining the verification process.
Cross-Border Functionality: UBO Verify can calculate ownership information across jurisdictions, where the UBO information is available.
Name-Matching Algorithm: Kyckr uses name-matching functionality in cases where multiple similarly named entities are uncovered during the UBO verification process.