Production-shaped data. PII-safe by default.
Mark fields as sensitive in your DataMaker template and the agent guarantees they're masked, replaced, or never exported. GDPR-friendly. Audit-ready.
Brittle anonymisation slows everything down.
Hand-rolled scripts drift
Every team writes its own anonymiser. They miss new PII fields, fail audits, and break with each schema change.
Production copies are a liability
A snapshot of prod for testing is a GDPR incident waiting to happen — even with a 'safe' subset.
Synthetic data is too unrealistic
Faker gives you 'John Doe' rows that don't trigger the bugs real customers hit. Tests pass; production doesn't.
Masked at the field. Tracked at the schema.
Sensitive fields are first-class. Templates declare them; the agent honours them.
Mark any field sensitive
Add a flag in the template. Exports are blocked unless explicitly approved, and the agent refuses to copy the value.
Realistic without being real
Generate IBANs that pass checksum, USt-IDs that match country format, addresses that match postcodes.
Same shape, different identity
Email "alice@…" → "fcbb@…". UUIDs stay UUIDs. Dates stay dates. Tests behave the same way.
Refuses unsafe exports
The AI agent will not copy sensitive fields out of templates without explicit instruction — by design.
Mark a field. Generation is masked.
DataMaker substitutes a realistic, locale-correct fake at generation time and refuses to export the underlying value.
"Lukas""lukas.huber@example.de""Müller GmbH""DE89 3704 0044 0532 0130 00"1485.20results: [
{
first_name: "Lukas",
email: "lukas.huber@…",
company: "Müller GmbH",
iban: "DE89 3704…",
balance: 1485.20
},
{
first_name: "Sophia",
email: "sophia.weber@…",
company: "Bauer AG",
iban: "DE21 5001…",
balance: 2104.55
}
]- GDPR-compliant by default
- Mask, replace, or block-on-export
- Audit log per template
- Locale-aware substitutions
Our DPO signed off our DataMaker rollout in a single review. The sensitive-flag at the template level was the clincher.
Realistic test data without the GDPR risk.
Try the masking workflow on the free tier — no production data needed.