Oscilar

Oscilar is a no-code, AI-powered risk decisioning platform. It's designed to assist financial technology (fintech) companies in managing various types of risks, including fraud, credit, and compliance risks. The platform's main objective is to save engineering hours through automation and facilitate risk decision making, allowing fintech companies to focus on their core operations.

Oscilar can be used by fintech companies in different sectors like Financial Services, Buy Now Pay Later (BNPL), Marketplaces and Banking as a Service (BaaS). In particular, roles like risk analysts and risk team members can leverage Oscilar to automate their risk decision-making processes.

Oscilar helps to manage fraud, credit, and compliance risks by automating the risk decision-making process. It leverages machine learning models that are continuously retrained, tailored to your data and behavior of your users, and can interpret data to detect anomalies and potentially fraudulent activities. It also provides tools to enhance credit decisioning and compliance management processes.

Oscilar uses unique data and user behaviors to automate the risk decision-making process. It applies machine learning models that are accustomed to the specific data and behavioral patterns of the company's customers. This reduces the manual effort required in risk assessment and increases the overall efficiency of the process.

Yes, Oscilar can adapt to unique data and user behaviors. One of Oscilar's key features is its learning capability that uses your users' behavior and your unique data to help automate most of your risk decisions. This enables the platform to tailor its operations to the specific needs and patterns of a company's risk assessment.