The Power to Predict in Financial Services
Predict risk, returns, fraud and every crucial decision the success of your institution depends on.
THE PROOF
Our most powerful Large Tabular Model. Pre-trained and ready to deploy.
91
%
WIN RATE
OUTPERFORMS CLASSIC ML
Compare with CatBoost and XGBoost.
THE PROBLEM
Most financial models are slow to build and fast to fail.
Traditional models reduce complex financial systems into static rules — missing the patterns that actually drive risk, fraud and defaults.
And every new use case means rebuilding the entire pipeline from scratch.
TRADITIONAL ML
One model per use case
3–6 months to production
Constant retuning
Patterns oversimplified
One system across the business
Immediate time to value
Continuous improvement
Complex patterns captured
THE SOLUTION
REAL RESULTS
The Power to Predict. Trillions of dollars of value unlocked.
FRAUD DETECTION
94
%
ACCURACY
CHURN PREVENTION
80
%
ACCURACY
Up from 61% with traditional models. At-risk customers identified months earlier.
Matt Garman
CEO, Amazon Web Services
WHAT YOU CAN PREDICT
Use cases for every financial prediction. From fraud to forecasting.
Credit risk & default prediction
Identify high-risk borrowers earlier and improve underwriting decisions.
Fraud detection
Detect anomalous transaction patterns across accounts in real time.`
Customer lifetime value
Predict long-term value to optimize acquisition and retention.
Portfolio risk modeling
Understand exposure under changing market conditions.
Liquidity & Cash Flow Forecasting
Improve short-term forecasting and capital allocation.
Customer Churn Prediction
Identify at-risk customers before attrition occurs.
FOR DATA SCIENCE TEAMS
Built for your stack. Designed for regulated environments.
BUILT FOR YOUR INFRASTRUCTURE
Runs inside your VPC. Data never leaves your environment.
Works alongside existing models and pipelines.
No feature engineering. No hyperparameter tuning.
One API. Limitless predictive tasks.
Built-in explainability for audit and compliance.
