Oscilar is a no-code, AI-enabled risk decisioning platform tailored to help fintech companies manage various risks, including fraud, credit, and compliance.
The platform is designed to save time for engineers using no-code automation, so financial technology companies can concentrate on their primary business activities. Oscilar stands out because it learns and adapts to a company's specific data and user behaviors to automate risk decision processes.
This automation not only lessens the manual effort needed for risk assessment but also boosts the efficiency of the risk analysis. The platform also offers tools for building rules and workflows without needing to write any code.
These rules and workflows are easily modified, tested, and gradually implemented. Oscilar also includes a strong machine learning component that uses minimal labeled data and lets you use hosted models or bring your own. It also features a data hub that quickly integrates first-party database information and third-party data sources, providing a full, real-time view of customers and transactions.
This ensures a comprehensive and current understanding of risk factors. Additionally, Oscilar has a case management system that aims to lower the number of manual reviews by automatically delivering key transaction data, which helps in identifying and marking users with similar behaviors.
In short, Oscilar streamlines risk decision making, automates risk assessment, and improves decision-making efficiency in fintech operations.
Designed specifically for fintechs
Handles risks related to fraud, credit, and compliance
No-code automation features
Specifically for fintech
Relies on available data
Limited use of labeled data

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