Cladfy provides microfinance lenders with a cash flow-based credit scoring engine and end-to-end loan management software that utilizes alternative data sources, such as mobile money and bank statements, to assess borrower affordability. This technology enables lenders to streamline their processes, reduce risk, and make informed lending decisions more efficiently.
Funding
$120K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Microfinance lenders in Africa often struggle to accurately assess the creditworthiness of small and medium-sized enterprises (SMEs) due to limited access to traditional credit data and the informal nature of many businesses. This lack of reliable information leads to increased lending risks and hinders the ability of SMEs to access necessary capital for growth.
Solution
Cladfy provides microfinance institutions with a comprehensive loan management platform and alternative credit scoring engine that leverages diverse data sources to evaluate borrower affordability. The platform integrates client onboarding tools, proprietary and third-party credit scoring models, and a centralized dashboard for visualizing loan performance. By analyzing mobile money transactions, bank statements, repayment history, and demographic data, Cladfy generates detailed credit profiles that enable lenders to make informed decisions and mitigate risks. The platform also facilitates communication with clients through automated web notifications, SMS, and email, streamlining the loan management process from origination to engagement.
Target Audience
Cladfy primarily targets microfinance lenders in Africa who need efficient loan management software and alternative credit scoring solutions to better assess risk and extend financing to SMEs.
Features
- Cashflow Score: Analysis of Bank & Mobile-Money statements to generate a 3-digit score and a Loan Ability estimate.
- Demographic Score: Scorecard of weighted features that considers an applicant's background data.
- Deposits Score: Analysis of a client's historical deposit/savings behavior to generate a 2-digit score.
- Repayment Score: Computation of a 2-digit score from a borrower's past loan repayment patterns.
- AI-powered transaction categorization to automatically extract, classify, and compute transactions in bank statements.
- Integration with existing lending management systems (LMS) through pre-built connectors.
- Mobile-compatible tools for loan officers to directly input data into the system.
- Secure data storage with robust security measures and compliance with data protection regulations.