SentiLink provides identity verification technology that detects and blocks synthetic identities at the point of application using machine learning models informed by proprietary data and human analysis. This solution helps financial institutions mitigate identity fraud, enhancing customer approval processes while reducing fraudulent account openings.
Funding
$92.6M 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.
Founders
Product
Problem
Financial institutions face increasing losses from synthetic identity fraud, where criminals create fictitious identities by combining real and fabricated information. Traditional identity verification methods often fail to detect these sophisticated schemes, leading to fraudulent account openings and credit losses.
Solution
SentiLink offers a suite of identity verification products designed to detect and prevent synthetic identity fraud at the point of application. By leveraging machine learning models, proprietary data, and human analysis from a team of risk analysts, SentiLink identifies subtle patterns indicative of synthetic identities. This allows financial institutions to confidently approve legitimate customers while blocking fraudulent applications in real-time, minimizing losses and improving customer acquisition efficiency. SentiLink's solutions are tailored to distinct fraud types and adapt to the evolving fraud landscape.
Target Audience
SentiLink primarily serves financial institutions, including banks, credit unions, and fintech companies, that are seeking to reduce losses from synthetic identity fraud and improve customer onboarding processes.
Features
- Machine learning models trained on proprietary data and continuously updated by expert risk analysts
- Real-time detection of synthetic identities at the point of application
- Flexible API and integration options to fit existing workflows
- Customizable rules and risk thresholds to align with specific business needs
- Support for various use cases, including deposit accounts, credit cards, and lending
- Data security protocols with strict controls for processing, storing, and transmitting customer data