What is Oscilar?
Oscilar is an AI-powered, no-code risk decisioning platform designed specifically to assist fintech companies in managing various types of risks including fraud, credit and compliance. The platform's main objective is to save engineering hours through no-code automation, allowing financial technology companies to focus on their core operations.Oscilar is noteworthy for its learning capabilities, with the ability to adapt to a company's unique data and user behaviors, to automate risk decision making processes. This automation not only reduces the manual effort required in risk assessment but also increases the efficiency of the risk analysis process.The platform also provides tools for creating rules and workflows, requiring no coding knowledge. These rules and workflows can be easily changed, tested and gradually deployed. Additionally, Oscilar features a robust machine learning component, requiring minimal labeled data, and offering the flexibility to use hosted models or bring your own.It also offers a data hub that integrates 1st party database data and 3rd party data sources in a snap, providing a comprehensive real-time view of customers and transactions. This allows for a thorough and up-to-date understanding of risk levels.Furthermore, Oscilar provides a case management system designed to reduce manual reviews, delivering important transaction data automatically which enables finding and flagging users exhibiting similar behavior. Overall, Oscilar simplifies risk decision making, automates the risk assessment process, and enhances decision-making efficiency in fintech operations.
Pros
- Designed for fintech companies
- Manages fraud
- credit
- compliance risks
- No-code automation
- Saves engineering hours
- Learning capabilities
- Adapts to unique data
- Automates risk decisioning
- Efficient risk analysis process
- Easy rule and workflow creation
- Changes
- tests
- deploys workflows
- Minimal labeled data for ML
- Flexibility with hosted or own models
- 1st and 3rd party data integration
- Real-time customer and transaction view
- Automates case management
- Reduces manual reviews
- Finds and flags similar behavior
- No Coding Required for Integration
- Advanced ML models tailoring
- Velocity counters creation
- Matrix models creation
- Changes risk policies in minutes
- Fast decision-making (< 100ms)
- Intuitive no-code UI
- Decision-making flow creation
- Transaction monitoring
- KYC fraud prevention
- Automates most decisions
- Customizable decisioning workflows
- Out-of-the-box ML models
- Merchant onboarding
- Account takeover prevention
- Instant credit decisioning
- Real-time 360 view of customers
- Connects internal and external data
- Rules
- ML models
- velocity counters via UI
- Speeds up manual reviews
- Iterate policies easily
- Unified risk
- fraud and credit platform
Cons
- Fintech-specific
- Assumes data availability
- Limited labeled data usage
- Tools for rule creation
- Requires gradual deployment
- Single focus on risk management
- Potential over-reliance on automation
- Complexity in integrating third-party data
- Learning capabilities dependent on user data
- Potentially unsuitable for small businesses
Oscilar FAQ
What is 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.
Who can use Oscilar?
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.
How does Oscilar assist with fraud, credit, and compliance risks?
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.
How does Oscilar automate the risk decision making process?
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.
Can Oscilar adapt to unique data and user behaviors?
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.
How does the rule/workflow creation in Oscilar work?
Rule and workflow creation in Oscilar works through an intuitive no-code interface. This allows users to easily create and change rules and workflows. In addition, users can simulate changes using unit tests, backtests, shadow tests and A/B tests for modern risk management.
Does Oscilar require you to have a strong background in coding?
No, Oscilar does not require a strong background in coding. It is a no-code platform, designed to be user-friendly. This allows anyone in the risk team to create decisioning flows without requiring any help from an engineer or need for coding knowledge.
Can I use my own machine learning models on Oscilar?
Yes, Oscilar allows you to use your own machine learning models. While the platform itself features a robust machine learning component and offers hosted models, it also provides the flexibility to integrate and use your own machine learning models.
