RelyComply offers an AI-driven platform for Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance, enabling financial institutions to automate 80% of manual compliance tasks and monitor transactions 24/7. The platform reduces false positives by 50% and lowers total cost of ownership by 30%, addressing the complexities of evolving regulatory requirements and financial crime detection.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions face increasing challenges in complying with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations due to the complexity of evolving regulatory requirements and the sophistication of financial crime. Traditional manual compliance processes are inefficient, error-prone, and struggle to keep pace with emerging threats.
Solution
RelyComply offers an AI-driven platform designed to automate and streamline KYC/AML compliance processes, enabling financial institutions to adapt to evolving regulatory pressures and combat financial crime more effectively. The platform consolidates KYC and AML processes into a single interface, leveraging AI to automate up to 80% of manual tasks, reduce false positives by 50%, and lower the total cost of ownership by 30%. By continuously monitoring transactions, individuals, and businesses, RelyComply helps institutions stay agile and secure in the face of existing and emerging financial crimes. The platform's AI algorithms analyze vast amounts of data from diverse sources, providing real-time, contextual information and comprehensive risk profiles.
Target Audience
RelyComply primarily serves banks, FinTech companies, and insurance providers seeking to enhance their KYC/AML compliance, reduce operational costs, and mitigate the risk of financial crime.
Features
- AI-driven automation of KYC/AML compliance tasks, reducing manual effort and improving efficiency
- Real-time transaction monitoring and screening against global watchlists for immediate detection of suspicious activity
- Dynamic risk profiling that evolves based on new information and changing risk landscapes
- Advanced data collection and analysis, including social media, news, and deep web monitoring
- Multi-layered ownership analysis to uncover hidden ultimate beneficial owners (UBOs)
- Network analysis capabilities to visualize complex business relationships and identify key risk nodes
- Integration with existing risk management processes and legacy AML systems via APIs
- Customizable risk models tailored to specific industry requirements and regulatory frameworks
- Integration with goAML for automated and accurate STR (Suspicious Transaction Report) submissions