Machine Learning Models

Go beyond traditional underwriting to reduce default rates and increase loan volume with predictive machine learning built and managed by DigiFi

  • Proprietary models trained against your loan history data
  • Leading-edge algorithms, including neural networks & boosted trees
  • Fully explainable machine learning decisions eliminate “black boxes”
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BANK-LEVEL SECURITY
RAPID DEPLOYMENT
REGULATORY COMPLIANT

Give Your Underwriting A Boost

Go beyond traditional risk analysis with accurate underwriting models built just for you

UNPARALLED RISK ASSESSMENT

Our models are extremely accurate and our industry standard 300-850 scale makes them easy to interpret

CONTINUOUS IMPROVEMENT

DigiFi retrains your model regularly using fresh data, ensuring it improves and adapts over time

EXPLAINABLE MACHINE LEARNING

DigiFi’s proprietary explainability framework provides specific reasons for every decision

ACCELERATED BY TECHNOLOGY

Our next-gen platform automatically evaluates a wide range of models and selects the best one for you

GET STARTED WITH NO RISK

We’re confident that machine learning will boost your underwriting and we offer free pilots to prove it

EASY IMPLEMENTATION

Once we deploy a model, your other systems can easily connect to it to request and receive decisions

Benefit From Leading-Edge Technology

DigiFi’s propriety machine learning platform leverages the most advanced machine learning in the world

  • Neural Networks

  • Gradient-Boosted Trees

  • Decision Trees

  • Logistic Regression

  • Random Forest

  • Linear Regression

DigiFi Drives Significant Bottom-Line Impact

It’s not magic, it’s technology – and it works

Reduce Loan Defaults

Reduce losses by 5% to 15% by identifying high-risk borrowers that traditional credit scores miss

Approve More Customers

Identify up to 25% more credit-worthy borrowers to confidently expand your addressable population

Improve Your Pricing

Use application-level default rate predictions to drive accurate risk-based pricing across the spectrum

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