Main Purpose
Pascal is a compliance and risk decision support tool that helps automate screening and monitoring processes to ensure compliance with KYC (Know Your Customer) and CDD (Customer Due Diligence) requirements.
Key Features
- AI-based Techniques: Pascal utilizes AI-based techniques and self-learning to evolve and adapt to changing laws and regulations.
- Relevance Predictions: Pascal provides increasingly accurate relevance predictions, reducing false positives and allowing users to focus on what truly matters.
- Natural Language Processing: The tool employs Natural Language Processing to "read," interpret, and structure adverse media, identifying risk and sentiment.
Use Case
- Compliance Specialists: Pascal is designed for compliance specialists who need to screen and monitor contacts and the companies they work for to avoid risks and ensure compliance.
- Directors of Compliance: Pascal assists directors of compliance in managing KYC and CDD requirements by analyzing public data, including media coverage, to identify compliance issues.
- Anti-Money Laundering Officers: Pascal supports anti-money laundering officers in identifying potential compliance risks and suspicious activities through advanced data analysis.
- Data Analysts: Pascal provides data analysts with a tool to extract relevant information from online media articles and other sources to support compliance and risk management.
