Profile Organization Management

Overview#

A due diligence analyst receives a referral to assess a mid-sized logistics company before a client enters into a significant commercial relationship. The company's immediate ownership looks straightforward. Three layers deeper in the corporate structure, however, sits a holding company registered in a jurisdiction known for opaque beneficial ownership rules, ultimately controlled by an individual with documented connections to a sanctioned entity. None of that is visible from the surface.

The Profile Organization Management module maps corporate structures through unlimited ownership layers, calculates ultimate beneficial ownership using graph analytics, and flags structural characteristics associated with shell company arrangements. It draws continuously from hundreds of corporate registries worldwide, so analysts see current data rather than a snapshot frozen at onboarding.

Open Standards#

ISO 17442 / GLEIF Legal Entity Identifier (LEI): Organisation profiles incorporate LEI codes sourced via a monthly synchronised GLEIF API integration, enabling unambiguous cross-border legal entity identification.
POLE Model (Person, Organisation, Location, Object, Event): The core profile data model is structured around the POLE intelligence framework, aligning entity types and access permissions to the established law-enforcement and financial-crime analysis standard.
OASIS STIX 2.1: Organisation and entity intelligence is bidirectionally convertible to and from STIX 2.1 Structured Domain Objects, supporting interoperability with external threat-intelligence and financial-crime platforms.
EU Anti-Money Laundering Directives (4th/5th AMLD): Ultimate beneficial ownership calculations apply the 25% ownership threshold mandated by the EU AML Directives, and analysis outputs are structured to satisfy AMLD-compliant due diligence obligations.
FATF Recommendations: Shell company detection and beneficial ownership analysis are aligned to FATF red-flag indicators and risk-based due diligence guidance, enabling outputs to support FATF-compliant compliance workflows.
ISO 3166-1: Alpha-2 and alpha-3 country codes are used consistently throughout corporate registry queries, jurisdiction filtering, and GLEIF LEI lookups.
GraphQL (June 2018 Specification): All organisation profile queries, mutations, and ownership analysis operations are exposed through a fully typed GraphQL API layer.
W3C PROV-DM: Entity merge and ownership-chain resolution operations record provenance metadata in accordance with the W3C Provenance Data Model, supporting audit trails for compliance reporting.

Last Reviewed: 2026-02-05 Last Updated: 2026-04-14

Key Features#

Comprehensive Organisation Profiles: Rich data models capture legal identity, registration numbers, tax identifiers, securities listings, industry classifications, locations, corporate governance, financial statements, and risk indicators in a unified profile structure aligned to the POLE model (Person, Organisation, Location, Object, Event).
Corporate Structure Analysis: Advanced ownership analysis traverses complex corporate hierarchies through unlimited layers, mapping parent companies, subsidiaries, affiliates, joint ventures, and beneficial ownership chains with complexity scoring.
Ultimate Beneficial Ownership Calculation: Graph analytics trace ownership chains through multiple layers, aggregate ownership percentages from multiple paths, detect circular ownership, identify nominee shareholders, and flag opaque trust structures to determine individuals with significant beneficial ownership.
Shell Company Detection: Machine learning models analyse structural and behavioural indicators including registration patterns, physical presence signals, personnel arrangements, capitalisation levels, financial activity, and relationship patterns to identify potential shell companies.
Corporate Registry Integration: Continuous synchronisation with hundreds of corporate registries worldwide ensures real-time updates on company formations, dissolutions, officer appointments, ownership changes, and regulatory filings.
Financial Statement Analysis: Balance sheet, income statement, and cash flow data with key financial ratios enable financial health assessment, trend analysis, and anomaly detection for due diligence workflows.
Industry and Market Intelligence: Multi-standard industry classification, competitive landscape analysis, regulatory environment tracking, and industry-specific risk profiles provide context for risk assessments.
Sanctions and Watchlist Screening: Organisation profiles are continuously screened against sanctions lists, regulatory enforcement databases, and adverse media sources, with automated alerts on status changes.
Network Visualisation: Organisation relationship networks, including corporate hierarchies, business relationships, and personnel connections, are visualised with centrality scoring, cluster detection, and risk propagation analysis.

Use Cases#

Corporate Due Diligence: Compliance teams assess organisation risk through comprehensive profiles covering ownership structure, beneficial owners, financial health, regulatory history, and shell company indicators.
Beneficial Ownership Compliance: Automated UBO calculations satisfy regulatory requirements for identifying individuals with significant control or ownership, with complete audit trails of ownership chain analysis.
Shell Company Identification: Investigators use ML-powered shell company scoring to identify entities used for money laundering, tax evasion, or illicit financial flows based on structural and behavioural red flags.
Corporate Structure Monitoring: Continuous registry synchronisation detects changes in ownership, directors, status, and filings, alerting compliance teams to developments requiring re-assessment of organisation risk profiles.
Subsidiary and Affiliate Tracking: Complex corporate hierarchies with multiple layers of subsidiaries, affiliates, and joint ventures are mapped and monitored for changes that affect overall group risk assessment.
Investigation Entity Profiling: Investigators build comprehensive organisation intelligence profiles during case work by aggregating registry data, financial information, ownership structures, and relationship networks.

Integration#

The Profile Organization Management module integrates with the platform's entity resolution, risk scoring, investigation management, and watchlist screening systems. Organisation profiles feed into due diligence workflows, and UBO calculations connect to regulatory reporting systems. The module synchronises with corporate registries through automated connectors, and organisation network data integrates with graph analysis and visualisation tools for relationship mapping across investigations.