
Big Data Scoring is a Finnish-based company that offers AI and Big Data-trained credit scoring solutions globally. They build predictive models using artificial intelligence and big data through proprietary technology to create highly accurate credit scoring models, customer segmentations, and other advanced analytical solutions for banks, telecommunications, and retail financing sectors. Their products, such as RiskRisk, ChurnChurn, PrepaymentPrepayment, Lead qualificationLead qualification, FraudFraud, MarketingMarketing, Re-employmentRe-employment, IncomeIncome, and SegmentationSegmentation (Big Data Scoring Collage™), aim to predict payment compliance, customer churn, loan prepayment, sales closure probability, fraud probability, campaign acceptance, labor re-engagement, and estimated income. They leverage alternative data sources and AI to improve credit quality and acceptance rates, enabling lenders to make more informed and profitable credit decisions in real-time.

Big Data Scoring is a Finnish-based company that offers AI and Big Data-trained credit scoring solutions globally. They build predictive models using artificial intelligence and big data through proprietary technology to create highly accurate credit scoring models, customer segmentations, and other advanced analytical solutions for banks, telecommunications, and retail financing sectors. Their products, such as RiskRisk, ChurnChurn, PrepaymentPrepayment, Lead qualificationLead qualification, FraudFraud, MarketingMarketing, Re-employmentRe-employment, IncomeIncome, and SegmentationSegmentation (Big Data Scoring Collage™), aim to predict payment compliance, customer churn, loan prepayment, sales closure probability, fraud probability, campaign acceptance, labor re-engagement, and estimated income. They leverage alternative data sources and AI to improve credit quality and acceptance rates, enabling lenders to make more informed and profitable credit decisions in real-time.
Headquarters: Helsinki, Finland
Product: AI & big-data credit scoring and decisioning solutions (cloud-based models/engines)
Customer segments: Banks, telecommunications, retail lenders
Funding (reported): Total disclosed ~$3.35M; latest seed round Dec 31, 2018
Credit underwriting, risk decisioning, fraud detection, customer churn and lead qualification for lenders and telcos; scoring thin-file/unbanked customers.
2014
Fintech / Credit Scoring
Crunchbase lists a Seed round on this date; public amounts obfuscated.
Crunchbase shows multiple early funding entries (2014–2015–2018) and a non-equity assistance entry.
“Investors reported include Terranova, Mastercard Start Path, EASME and Novator”