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AI-driven risk decisioning for fintech companies.
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Oscilar screenshot
Updated: May 30, 2023 Contact for pricing

Description

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.

Pricing Plans

Model
no pricing
Packages
1 Package
Price Start From
Not specified
Payment Model
Not specified

Releases

The first release of Oscilar.

Reviews

Pros & Cons

Pros

Designed specifically for fintechs

Handles risks related to fraud, credit, and compliance

No-code automation features

Cons

Specifically for fintech

Relies on available data

Limited use of labeled data

Q&A

New Released

New Released