Oscilar is a no-code platform that leverages AI to facilitate risk decision-making, specifically tailored for fintech companies to effectively manage issues related to fraud, credit, and compliance. It serves as a comprehensive solution for risk, fraud, and credit decision-making, allowing users to save on engineering time through automation without the need for coding. With machine learning models specifically designed to adapt to your unique data, Oscilar enhances its capabilities by learning from user interactions and behaviors, enabling the automation of a majority of risk-related decisions. This platform is particularly advantageous for those looking to evolve operational rules and workflows without any programming, as it allows for the straightforward creation and modification of such rules. Additionally, users can test modifications through a range of simulations including unit tests, backtests, shadow tests, and A/B tests, ensuring a smooth transition from local to staging and then to production environments. Oscilar provides a real-time, comprehensive view of your users and their transactions by seamlessly integrating both internal and external data sources with just a few clicks. Furthermore, the platform can be customized to meet specific risk management requirements, offering decision-making workflows that incorporate rules, machine learning models, velocity counters, and more, all accessible through an easy-to-use interface. This flexibility ensures that organizations can respond quickly to emerging risks while maintaining control over their decision-making processes.