On-Demand AI Data Check-up
See Inside Your Dataset
Pinpoint gaps, noise & bias—fast
FAIRY PENGUIN
Recommended
Data Bulk-Up
Bulk up Data
Data Bulk-Up
Bulk up Data
Recommended
Data Repelica
Data replica
Data Repelica
Data replica
Data Diet
Data diet
Data Diet
Data diet
Introducing the Diagnostic Procedure
Customer Communication
Customer Discovery & Alignment — We start by clarifying your business objectives, data constraints, and domain specifics. These inputs define the diagnostic checklist and timeline.
Comprehensive Evaluation
Synthesizing Multi-Level Insights — Findings from Levels I, II, and III are merged into one scorecard, highlighting gaps, risks, and recommended next steps.
Level I Diagnosis
Data Integrity & Basic EDA — Checks schema consistency, missing values, class balance, and summary statistics—laying the groundwork for deeper analysis.
Measuring Data Integrity, Missing Value Measurement,Class Balance Measurement,
Statistical Measurement
Level II Diagnosis
General-Purpose DataLens Analysis — Uses our pre-trained “DataLens” to embed your dataset, then examines manifold shape, cluster geometry, and overall distribution to uncover hidden structure and outliers.
Pre-trainedImaging neural network
Observation dimensionFeature Extraction
Level III Diagnosis
Custom DataLens & Synthetic-Ready Assessment — Builds a domain-tuned measurement lens paired with a generative lens. Repeats Level II analyses while preparing the foundation for future synthetic-data generation.
Data SpecificImaging neural network
Intrinsic dimensionFeature Extraction
Data SpecificGenerative neural networks
Want to Know More?
What Is Data Clinic?
Think of it as a full-service hospital for your data: we diagnose quality issues and prescribe targeted fixes so your AI trains on healthy, reliable datasets.
How Does Data Clinic Work?
Our engine blends DataLens embeddings, visual diagnostics, quality scoring, and Data Bulk-Up & Data Diet routines to analyze and optimize your dataset from every angle.
Simple Diagnostic Report
You’ll receive a clear, easy-to-read summary that: (1) Scores problems like missing data, bias, and noise, (2) Lists the best fixes first—based on biggest payoff and least work needed.
See a Sample Report
Preview the depth of our analysis with public-dataset reports from AI Hub (Korea), Kaggle, and Hugging Face.
Customer Data Diagnosis — available from Pro plan
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Choose the plan that fits your dataset size and depth of analysis.
How to pay for your plan
Free
Free to use!
Try core features on Pebblous demo datasets.
Basic
10,000 won/m
Run basic quality checks on public datasets you select.
Pro
500,000 won/m
10,000 diagnostic credits
Full Data Clinic analysis on your own data
Enterprise
5 million won/m
100,000 diagnostic credits
Large-scale diagnostics plus Data Diet & Bulk-Up services