The Science Behind Psychometric Scoring
The Psyfint Methodology
Psyfint measures what traditional credit scores miss: how people think, act, and manage financial decisions.
Our psychometric approach is built on decades of psychological research, tailored for credit risk assessment, and field-tested across diverse markets. We analyze traits directly linked to financial behavior—like responsibility, risk appetite, and self-control—to generate an accurate, real-time credit score.
Step 3: Actionable Insights in Real Time
You receive a full decision-ready output, available via our intuitive dashboard or delivered through API to plug directly into your loan origination system.
USE CASES
4.5%
Non-Performing Loan (NPL) Rate
59.1%
Approval Rate Based on Risk Assessment
95%
Low-to-Middle Income Borrower Composition
1 min
Average Processing Time per Borrower
Comparison at a Glance
Required prior credit history
Psyfint
Traditional Scoring
Consider behavioral traits
Works informal/cash-based markets
Ideal for first-time borrowers
Bias towards formal employment
Inclusivity & Financial Access
Real-time scoring capability
Psyfint
Required prior credit history
Consider behavioral traits
Works informal/cash-based markets
Ideal for first-time borrowers
Bias towards formal employment
Inclusivity & Financial Access
Real-time scoring capability
Traditional Scoring
Required prior credit history
Consider behavioral traits
Works informal/cash-based markets
Ideal for first-time borrowers
Bias towards formal employment
Inclusivity & Financial Access
Real-time scoring capability
PsyFint gathers behavioral and psychological data through surveys, tests, and digital footprints.
Data Collection and Analysis
PsyFint gathers behavioral and psychological data through surveys, tests, and digital footprints. This data is analyzed to create an accurate psychometric profile, reflecting personality traits, decision-making patterns, and emotional intelligence.
Psychometric Profiles
Psychometric profiles are comprehensive assessments of an individual’s psychological traits. These profiles consider factors such as personality, cognitive patterns, and emotional responses to provide a deeper understanding of creditworthiness.
Scoring Algorithm and Methodology
PsyFint’s scoring algorithm uses advanced machine learning to analyze psychometric profiles and predict creditworthiness. The algorithm continuously adapts, improving over time to generate more accurate and reliable scores.
