Executive Chairman, Growth CEO and Board Member
Screena
Screena provides a platform that utilizes syntactic, phonetic, and semantic matching, along with multicultural recognition, to enhance name-matching accuracy in transaction and customer screening. This technology addresses the challenge of identifying potential financial crime risks, such as money laundering and fraud, while minimizing false positives and improving compliance efficiency for banks and fintechs.
- Artificial Intelligence
- Enterprise Software
- Financial Technology
- Software Only
Updated 7 months ago
Funding
Raised to date
$57MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Traditional name-matching processes in transaction and customer screening often struggle with variations in syntax, phonetics, and semantics, leading to inaccurate risk assessments. This can result in both missed instances of financial crime and a high volume of false positives, creating inefficiencies and compliance challenges for financial institutions.
Solution
ThetaRay's AI-powered financial crime detection platform enhances name-matching accuracy by utilizing syntactic, phonetic, and semantic matching techniques, along with multicultural recognition capabilities. This technology enables banks and fintechs to improve risk detection, minimize false positives, and streamline compliance efforts. The platform offers a multi-layered approach to transaction monitoring, customer risk assessment, and real-time screening against adverse media, PEPs, and global sanctions lists. By adapting to changing realities and continuously learning from data, ThetaRay helps financial institutions manage risk, stay compliant, and grow with confidence.
Target Audience
ThetaRay primarily serves banks and fintech companies seeking to improve their AML and financial crime detection capabilities, reduce risk exposure, and ensure regulatory compliance.
Features
- Syntactic, phonetic, and semantic matching for enhanced name-matching accuracy
- Multicultural recognition to account for variations in names across different regions
- AI-driven transaction monitoring that detects anomalies and potential financial crime
- Dynamic customer risk assessment that proactively checks customer behaviors
- Real-time screening against adverse media, PEPs, and global sanctions
- Explainable alerts for faster investigation and reduced administrative burdens
- Configurable and easily integrated within existing ecosystems