Decide is a credit risk assessment software from Indicina that helps validate the credit eligibility of individuals swiftly and accurately. It combines native open data sourcing, third-party sourcing, and traditional data analysis so users can underwrite with the confidence of a human at five times the speed. This platform supports modern methods of assessing risk and affordability, making it suitable for diverse financial services. Users can also access webinars and developer resources to maximize their understanding of the software. Key capabilities: originations buy now, pay later data analysis risk assessment eligibility validation Best for: financial institutions that need efficient credit risk assessment solutions.
Decide by Indicina is an essential, AI-powered Credit Decisioning Engine engineered to solve the chronic credit risk challenges in African markets. It distinguishes itself by going beyond traditional credit bureau data, leveraging over 70 metrics from bank and telco statements to assess the financial health of the underserved, including gig workers and SMEs. With features like automated scorecards, lightning-fast processing speeds, and the innovative Decide Co-pilot for AI-driven analytics, Decide enables banks and digital lenders to confidently and accurately approve more applicants while mitigating risk through precise affordability assessment. It is the critical infrastructure required to drive genuine financial inclusion and growth for modern lenders operating in high-potential emerging markets.
Accurately extracts and analyzes over 70 critical data points from bank statements (PDF or API access), covering cash flow, income stability, spend patterns, and transaction behavior.
Accesses financial and non-financial data through its native open-data tool, Spool, which connects to 24 local banks and Telco data to create a 360-degree financial view.
Allows users to create multiple rules and flexible scorecards using the rich data points, enabling auto-decisioning (Approve/Decline/Manual Review) for fast, consistent results.
Provides analysis results in less than 2 minutes (and is 4x faster with the recent GoLang switch), significantly speeding up the Time-to-Answer (TTA) for loan applications.
AI models are specifically trained to identify and positively score income from Gig Workers (freelancers, drivers) and discern savings/investments from regular debits, promoting financial inclusion.
An AI-powered tool that provides real-time, unlimited, in-depth insights into bank statements via natural language queries, eliminating manual calculations.
Supports integration with major African credit bureaus (e.g., CRC, First Central) to access traditional credit history data.
Allows risk analysts to manually review results and tag specific transactions for deeper investigation during the manual decisioning process.
Calculates the Free Cash Flow (FCF) and Maximum EMI Eligibility of a borrower, moving beyond eligibility to determine the safe loan amount.
Supports data input via Native API access, PDF upload, and works seamlessly as a native module within Indicina’s Originate loan management platform.
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Decide is a credit risk assessment software from Indicina that helps validate the credit eligibility of individuals swiftly and accurately. It combines native open data sourcing, third-party sourcing, and traditional data analysis so users can underwrite with the confidence of a human at five times the speed. This platform supports modern methods of assessing risk and affordability, making it suitable for diverse financial services. Users can also access webinars and developer resources to maximize their understanding of the software. Key capabilities: originations buy now, pay later data analysis risk assessment eligibility validation Best for: financial institutions that need efficient credit risk assessment solutions.
Does Decide have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
NGN (₦
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Syft Analytics is an interactive financial reporting tool from Syft that supports businesses, accountants, and…