Data Quality Score (DQS)
Our proprietary weighted heuristic measures statistical health, feature sparsity, and distribution reliability at the schema level.
PROPRIETARY METRICCore Audit Suite
Modular plugins designed to separate signal from noise.
Deep analysis of mean, variance, skewness, and kurtosis.
Checks whether your dataset is ready for ML training.
Detect duplicate and repeated records instantly.
Real-time detection of target label distribution skew.
Automated Z-score and IQR anomaly isolation.
Detects high-variance categorical overhead.
Uses Mutual Information (MI) to detect data leakage and separate signal from noise.
AI Smart Suggestions
Context-aware recommendations for feature engineering, encoding strategies, and data enrichment based on column semantics.
Basic Cleaning
- Smart Imputation
- Deduplication
- Type Casting