Use Cases
Data for every team,
every workflow
Whether you're training models, seeding databases, or scrubbing PII — Hadarac generates exactly the data you need, instantly.
ML / AI dataset.csv
Ship AI models faster with synthetic training data
Stop waiting weeks for data labelling. Describe your dataset in plain English and get thousands of realistic, labelled rows in under 2 seconds — ready for fine-tuning.
- Generate balanced class distributions — eliminate bias from skewed real-world samples
- Cover rare edge cases your production data never captured
- No PII, no consent issues, no legal review — just data
- Works with any ML framework: PyTorch, TensorFlow, HuggingFace, scikit-learn
- Export to CSV, Parquet, JSON — drop it straight into your training pipeline
| customer_age | income_band | churn_risk | label |
|---|---|---|---|
| 34 | mid | 0.12 | retained |
| 58 | high | 0.61 | at_risk |
| 22 | low | 0.08 | retained |
| 41 | mid | 0.89 | churned |
| 67 | high | 0.34 | retained |
5 of 10,000 rows
Ready
QA / Engineering dataset.csv
Realistic test data that actually breaks your code
Seed dev databases, load-test APIs, and reproduce production bugs — all with synthetic data that looks and behaves like the real thing, but never is.
- Generate thousands of edge-case rows in seconds, not hours
- Reproduce flaky bugs by seeding exact distribution patterns
- Safe to commit, share, and use in CI pipelines — no real PII
- Extend any existing dataset with new columns without starting over
- Consistent schemas across environments: dev, staging, QA, load tests
| user_id | created_at | status | |
|---|---|---|---|
| u_9281 | alex@example.com | 2024-01-03 | active |
| u_0047 | morgan@example.com | 2024-03-18 | pending |
| u_7714 | sam@example.com | 2023-11-30 | inactive |
| u_3392 | jordan@example.com | 2024-06-22 | active |
| u_5560 | casey@example.com | 2024-08-01 | banned |
5 of 10,000 rows
Ready
Privacy / Compliance dataset.csv
Replace PII before it ever leaves your stack
Mask names, emails, phone numbers, and IDs with realistic synthetic equivalents — so your data can be safely shared with vendors, analysts, and AI models.
- Detects and redacts 20+ PII types: names, emails, phones, SSNs, DOBs, addresses
- Synthetic replacements are statistically consistent — aggregates still hold
- GDPR, CCPA, and HIPAA aligned — legal loves it
- Works on any uploaded CSV — no schema definition required
- Audit log of all redacted fields per run, exportable for compliance
| name | phone | ssn | |
|---|---|---|---|
| ███████ | █████@██████.com | ███-████ | ███-██-████ |
| ███████ | █████@██████.com | ███-████ | ███-██-████ |
| ███████ | █████@██████.com | ███-████ | ███-██-████ |
| ███████ | █████@██████.com | ███-████ | ███-██-████ |
| ███████ | █████@██████.com | ███-████ | ███-██-████ |
5 of 10,000 rows
Ready
Get started
Ready to generate your first dataset?
Free plan includes 3 datasets and 10,000 records. No credit card required.