AI Training GLOBAL
Models Custom per inst.
Data Stays in-house
Explainability SHAP on every
Governance Full versioning
Countries 180+
AI Training GLOBAL
Models Custom per inst.
Data Stays in-house
Explainability SHAP on every
Governance Full versioning
Countries 180+
AI Brain · Training Studio · zung.ai Global

Train AI models on your own
institutional data.

zung.ai's AI Model Training Studio lets your institution train and fine-tune custom AI models on your own data — credit scoring, fraud detection, churn prediction — with explainable outputs, governance controls, and no data leaving your environment globally.

AK
ML
DR
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Custom AI models trained for 500+ institutions
zung.ai
zung.ai AI Training Studio
● LIVE
Custom
Models
In-House
Data
SHAP
Explainable
🔮Training run: CreditScore_v4 — 48,200 samples · epoch 12/50Training
💚Model promoted: FraudDetect_v7 — AUC 0.968 — live nowLive · prod
A/B test: CreditScore_v4 vs v3 — challenger +2.1% AUCA/B Running
💚SHAP report: 14 factors — top driver: repay_history +0.42Explainable
Custom credit model — train on your loan history
📊Fraud model — fine-tune on your fraud patterns
🔐Model versioning — A/B test before deploying
🤖No data leaves your environment — secure
FEDERATED · SHAP EXPLAINABLE · SOC 2 · ISO 27001
Custom AI trained on your data — secure ✓
SHAP-explainable — every prediction reasoned ✓
Custom
AI models trained per institution
SHAP
Explainability on every AI decision
Zero
Data leaves your secure environment
500+
Institutions with custom AI models live
AI model training capabilities

Your data. Your model. Your AI advantage.

Train AI models on your own institutional data, fine-tune existing models, A/B test before deployment, and maintain full explainability — all within your secure environment globally.

Custom Credit Score Training
Train a credit scoring model on your own loan performance data — capturing the unique risk patterns of your member base that no generic model can detect globally.
Custom Credit
Fraud Model Fine-Tuning
Fine-tune the base fraud detection model on your institution's specific fraud patterns — improving detection accuracy for the fraud typologies that actually affect your members globally.
Fraud Tuning
No-Code Model Training UI
Non-technical staff train and retrain models through a visual interface — selecting training data, configuring parameters, and launching training runs without writing a line of code globally.
No-Code
A/B Model Testing
Shadow-deploy new models alongside the current production model — comparing decision distributions, accuracy metrics, and business outcomes before promoting the challenger to production globally.
A/B Testing
SHAP Explainability
Every prediction accompanied by a SHAP-based explanation — which features drove the score, with what weight — required for member communication, credit officer context, and regulator review globally.
SHAP
Model Governance & Versioning
Full model registry — version history, training metadata, champion/challenger tracking, and approval workflows. Every model change reviewed, approved, and logged before deployment globally.
Governance
AI Model Training Studio

AI models as unique as your institution.

Train custom AI models on your own institutional data — credit scoring, fraud detection, churn prediction — with SHAP explainability and governance controls globally.

Custom modelsSHAP explainedZero data exportSOC 2 Type II