Flowcast

Founded 2015

Automate credit underwriting decisions and predict borrower default risks

You can use Flowcast to automate credit underwriting decisions and assess financial risk for prospective borrowers. The service analyzes complex alternative and financial data to score credit applicants who might otherwise lack sufficient credit histories. You can predict default risks before they occur, allowing financial institutions to manage collections proactively. Additionally, the system resolves deduction claims automatically through its dispute management features. Credit teams can integrate the machine learning models into public or private cloud environments via APIs to receive explainable, real-time risk scores.

What Flowcast does

Calculate credit risk scores for new loan applicantsGenerate human-readable explanations for credit approvals and denialsIdentify high-risk borrowers approaching potential payment defaultsProcess and clear commercial deduction claims automaticallyIntegrate decisioning models into existing banking workflows via APIsEvaluate loan portfolios using out-of-sample machine learning testingAutomated underwriting with real-time risk scoresWhite-box machine learning models with human-readable explanationsDefault risk detection for proactive collections managementSmartclaims deduction claims automation to clear dispute claimsAPI-first architecture for public or private cloud deploymentsAlternative data processing to score thin-file and underserved borrowers

Frequently asked

Core Banking APIs, Public Cloud (AWS/Azure), Private Cloud VPC, Alternative Data Providers, Collections Software, CRM Systems, ERP Financial Modules, Data Warehouses, Salesforce (CRM data sync), Oracle NetSuite (ERP integration), SAP (Financial data ingestion), Plaid (Bank account verification), Experian/Equifax (Credit bureau data), Microsoft Dynamics 365 (Enterprise workflows)

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