Sandbar develops anti-money laundering software that ingests and standardizes millions of data points to detect suspicious activity through a suite of proprietary calculations. The platform enables real-time customer screening, transaction monitoring, and case management, significantly reducing false positives and operational costs for financial services.
Funding
$4.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LGFounders
Product
Problem
Financial institutions face challenges in efficiently detecting and preventing money laundering due to the complexity of ingesting and standardizing vast amounts of data from disparate sources. Traditional anti-money laundering (AML) systems often generate a high volume of false positives, leading to increased operational costs and hindering the ability to identify genuine suspicious activity.
Solution
Sandbar provides an AML software platform designed to streamline customer screening, transaction monitoring, and case management. The platform ingests and standardizes millions of data points, applying proprietary calculations to detect suspicious activity and generate a comprehensive risk score for each customer. By leveraging ready-to-use rules and customizable configurations, Sandbar reduces false positives and enables financial services to efficiently manage risk, maintain compliance, and grow their user base safely. The system offers a 360-degree view of customer risk, detailed audit trails, and role-based permissions, facilitating faster case resolution and improved operational efficiency.
Target Audience
Sandbar primarily serves fintech companies and financial infrastructure providers seeking to implement bank-grade AML systems without the complexity and cost of traditional solutions.
Features
- Real-time customer screening against global watchlists and sanctions databases
- Transaction monitoring with 120+ ready-to-use rules and customizable typologies
- Centralized case management with a 360-degree view of customer risk and detailed audit trails
- Configurable rules and tags for fine-tuning sensitivity levels and eliminating duplicative alerts
- Aggregation of dynamic alerts at the entity level (individuals, businesses, and accounts)
- Sandbox environment for testing and tuning AML strategies with real data
- API and batch ingestion capabilities for seamless integration with existing systems
- Webhooks for real-time decision-making and workflow automation