Minh Chau
CEO
Pascal
Pascal provides AI-driven fraud detection and risk management solutions for financial institutions, utilizing Graph AI to analyze transactions in real-time and identify suspicious activities. Their platform streamlines compliance processes and reduces operational costs by offering a unified case management system that enhances data visibility and collaboration across teams.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Financial institutions face increasing challenges in detecting and preventing fraud, money laundering, and other illicit activities due to the growing volume and complexity of transactions. Traditional rule-based systems often struggle to identify sophisticated fraud schemes and emerging patterns, leading to financial losses and regulatory penalties. Siloed data and fragmented systems hinder collaboration and comprehensive risk assessment across different departments.
Solution
Pascal provides an AI-driven risk intelligence platform that leverages graph technology to analyze relationships between transactions, accounts, and entities in real-time. The platform's graph AI engine identifies suspicious activities and emerging fraud patterns that traditional systems miss, enabling proactive fraud prevention and risk mitigation. Pascal's unified case management system streamlines compliance processes by providing a single source of truth for all risk-related data, enhancing collaboration and reporting capabilities. The platform offers dynamic risk scoring, transaction link analysis, and global blacklist hosting to provide a comprehensive view of risk across the organization.
Target Audience
Pascal primarily serves financial institutions, insurance companies, and government regulatory bodies seeking to enhance their fraud detection, anti-money laundering (AML), and risk management capabilities.
Features
- Real-time fraud detection using graph AI to identify anomalous transactions and hidden connections
- Dynamic risk scoring based on transactional fraud profiles and interconnected account analysis
- Unified case management workflow for compliance and risk teams, providing a single source of truth
- Transaction link analysis to visualize money flow across the transaction network
- Global blacklist hosting to leverage information from black/grey lists of suspicious accounts
- AI-trained models that adapt to specific data patterns to improve accuracy and reduce false positives
- Unstructured data normalization to convert data into actionable insights
- Data quality and enrichment services to ensure data accuracy and completeness