GiniMachine

Founded by Dmitry Dolgorukov in 2016

Build predictive models for credit scoring and risk management without writing code

Pricing model

Free trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use GiniMachine to build and deploy predictive machine learning models without writing any code. The system analyzes your historical business data, including records of past decisions and loan outcomes, to score incoming credit applications. It identifies high-risk borrowers, predicts customer churn, and ranks debt collection accounts by repayment probability. You can upload datasets, automatically validate predictive models within seconds, and set up automated pre-approval workflows. This helps lenders, collection agencies, and businesses make accurate financial decisions without employing data science teams.

What GiniMachine does

Upload historical business data to create a predictive modelEvaluate credit applications using alternative data pointsRank delinquent accounts by likelihood of repaymentTest and validate predictive accuracy before deploymentAutomate underwriting decisions for online loan requestsAudit lending processes for human error and biasBuilds predictive models from raw historical records in minutes without codingAutomatically validates model accuracy and forecasting suitabilityScores thin-file loan applicants using alternative data sources like utility billsPrioritizes debtors based on repayment likelihood for collection teamsSuggests effective collection outreach methods such as calls or messagesAutomates pre-approvals for incoming loan applicationsPredicts customer churn to support retention campaigns