●ML Pipeline GLOBAL
◆Retraining Daily auto
●Features 400+ computed
◆Drift Auto-detected
●Deployment CI/CD auto
◆Countries 180+
●ML Pipeline GLOBAL
◆Retraining Daily auto
●Features 400+ computed
◆Drift Auto-detected
●Deployment CI/CD auto
◆Countries 180+
AI Brain · ML Pipeline · zung.ai Global
Automated ML that
learns from
every transaction.
zung.ai's Machine Learning Pipeline automatically retrains and improves AI models with every new batch of data — detecting drift, triggering retraining, evaluating performance, and deploying improved models without human intervention globally.
KN
AM
SR
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AI models auto-improving across 500+ institutions
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Daily
Retraining
Zero
Manual Ops
Auto
Deployment
⚡Feature compute: 48,200 members · 400+ signals refreshedDone · live
💚Retrain complete: CreditScore_v5 — AUC 0.974 (+0.006)Promoted
🔮Drift alert: FraudDetect PSI 0.23 — retraining triggeredRetraining
💚Deployment: CreditScore_v5 live — 0% error rate on canaryLive · prod
⚡Auto-retraining — triggered by performance drift
📊Feature pipeline — 400+ signals computed auto
🔐Model evaluation — AUC, Gini, KS tracked
🤖Deployment — champion/challenger automated
AUTOMATED MLOps · DRIFT DETECTION · ZERO HUMAN IN LOOP
Models retrain automatically — zero human ops ✓
400+ features computed every transaction ✓
Daily
Automatic model retraining cycle globally
400+
Feature signals computed per transaction
Zero
Manual MLOps interventions required
100%
Model performance tracked continuously
ML pipeline capabilities
ML that improves while you sleep.
A fully automated machine learning pipeline — feature engineering, model training, evaluation, and deployment — running continuously without a data science team in the loop globally.
Automated Feature Engineering
400+ features computed automatically from raw transaction data — repayment ratios, velocity signals, peer comparisons, macroeconomic overlays — refreshed in real time globally.
400+ FeaturesDrift Detection
Statistical drift monitoring — PSI, KS, and distribution shift — comparing production data against training data distributions. Automatic retraining triggered when drift exceeds thresholds globally.
Drift DetectionScheduled Retraining
Daily, weekly, or event-triggered model retraining — running on the latest data, evaluating performance automatically, and promoting the new model if it outperforms the current champion globally.
Auto-RetrainCI/CD for AI Models
Model deployment pipelines — version control, staged rollout, shadow deployment, and instant rollback. New models reach production in hours after training completes globally.
CI/CD MLPerformance Monitoring
Continuous tracking of AUC, Gini coefficient, KS statistic, and PSI for every model in production — with automatic alerting when any metric degrades below threshold globally.
Live MetricsData Lineage & Reproducibility
Full lineage of every model — what training data was used, which features were included, what hyperparameters were set — so any model can be reproduced and audited globally.
ReproducibleMachine Learning Pipeline
AI that improves with every transaction.
zung.ai's ML Pipeline retrains and deploys improved models automatically — 400+ features, drift detection, and zero manual MLOps across 180 countries globally.
Daily retrainZero manual400+ featuresSOC 2 Type II