Discover financial origins and verify legitimacy

Client and institution data on spektr is protected by advanced encryption and is stored on secure EU-based data servers. Data is never used for training large language models (LLMs) and is not transferred outside the EU or to third parties unless required by law or with explicit client consent. The platform embeds privacy into all processes, fully complies with GDPR, and maintains ISO-certified governance and security measures. Clients have clear rights to access, correct, or delete their data at any time.

The Source of Funds AI maintains end-to-end data provenance by recording lineage metadata for all institutional and client data ingested. Provenance management is implemented in accordance with ISO 27001 (information security management) and ISO 42001 (AI management system) standards, ensuring secure, ethical, and compliant handling of all data assets. These include role-based access controls and least-privilege principles that also have explainability controls which allow users and auditors alike to trace how the AI-derived conclusions were reached, whilst also detecting and mitigating biases with human-in-the-loop safeguards.

Ultimate Beneficial Owners (UBOs) and Politically Exposed Persons (PEPs) typically require significantly more intricate and sophisticated mapping processes, and they are frequently not revealed or disclosed by traditional, conventional compliance checks that primarily rely on examining documents or reviewing details that clients readily and voluntarily surrender during standard onboarding procedures. spektr's AI technology navigates and cross-references extensive global databases of legal entities with full data provenance and traceability to systematically identify suspicious connections, hidden relationships, or even conspicuously missing linkages that might indicate concealed ownership structures.

‍Cross-registry evaluation With the additional strategic help and integration of specialized third-party services such as ComplyAdvantage for sanctions and adverse media screening, OpenCorporates for corporate registry data, Kyckr for verified business information, and more rudimentary yet effective Optical Character Recognition (OCR) technologies for document processing, the process of uncovering even the most complex and deliberately obscured ownership structures becomes fully automated, efficient, and highly accurate. Furthermore, potential risks associated with UBOs can be assessed and calculated in real-time using live, legally authoritative, and continuously updated data sources, all based on your enterprise's own customized and clearly defined risk assessment matrices and compliance parameters.