FIELD SCHEMA
29 Interlocked Fields. Purpose-Built for EDD.
Every field is deterministically generated from the profile’s archetype, niche, and wealth structure. Zero AI on KYC fields — pure algorithmic derivation using SHA-256 for reproducibility. The same UUID always produces the same profile across every generation run. No randomness. No drift. Auditable from field one to field twenty-nine.
Identity & Wealth Composition
uuid · full_name · residence_city · residence_zone · tax_domicile · net_worth_usd · total_assets · total_liabilities · property_value · core_equity · cash_liquidity · profession · education · narrative_bio
14 fields
Financial Structure & Offshore
offshore_jurisdiction · offshore_vehicle · philanthropic_focus · assets_composition · liabilities_composition
5 fields
KYC/AML Enhanced Fields
kyc_risk_rating · pep_status · pep_position · pep_jurisdiction · sanctions_screening_result · sanctions_match_confidence · adverse_media_flag · source_of_wealth_verified · sow_verification_method · high_risk_jurisdiction_flag
10 fields
All KYC fields are deterministically derived — same UUID always produces the same KYC profile. Zero AI involvement. Fully reproducible. Every field passes DIAMOND Standard integrity audit.
USE CASES
Built for Teams Under Regulatory Pressure
If you test compliance systems, train AML models, or validate screening workflows — this is your test data. Four teams, one shared problem: the data they need to test properly is the data they are not allowed to use.
Neobanks & Fintechs
Post-remediation testing after regulatory fines. Validate upgraded AML systems against realistic high-risk UHNWI profiles with complex ownership, multi-jurisdictional exposure, and offshore structures. The regulator will not accept generic test data — they need to see edge cases that mirror real-world risk.
RegTech & AML Vendors
Train and calibrate AI models for sanctions screening, transaction monitoring, and risk scoring. Born-synthetic profiles provide the edge cases — PEP exposure, adverse media, high-risk jurisdictions — that generic test data misses. Ship better models, document your training data provenance for EU AI Act compliance.
Compliance & Audit Teams
Validate EDD workflows without exposing real client data. Every dataset includes a Certificate of Sovereign Origin — documented provenance for your audit trail. When the regulator asks where your test data came from, you hand them a certificate. Not an explanation.
AI & Data Engineering Teams
Train financial AI models on governed, documented, GDPR-compliant data. EU AI Act Article 10 requires training data governance — enforcement starts August 2026 with fines up to 7% of global revenue. Born-synthetic data means documented compliance from day one. No legal review needed.
THE COST
$999 or $29,000,000. Your Choice.
Recent AML fines — all for inadequate KYC/EDD systems. Every one of these companies needed better test data. They tested with sanitized production copies or did not test at all. The regulator noticed.
| COMPANY | FINE | REASON |
|---|---|---|
| Starling Bank | £29M | Inadequate sanctions screening |
| Monzo | £21M | KYC failures, fake addresses |
| N26 | €9.2M | SAR delays (5th BaFin sanction) |
| Revolut | €3.5M | Weak AML controls, poor EDD |
| Block / Cash App | $120M | CDD and monitoring failures |
| OKX | $504M | Zero KYC for years |
Every one of these fines was caused by inadequate KYC/AML systems. Better test data would have caught the gaps before the regulator did. $24,999 for 100,000 compliance-grade test profiles is not an expense — it is insurance.
01
SV
Silicon Valley
02
EU
Old Money Europe
03
ME
Middle East
04
LA
LatAm Barons
05
PR
Pacific Rim
06
SS
Swiss-Singapore
Compliance
Starter
$999
1,000 records from any single niche. Schema validation, POC for compliance teams, audit trail demonstration. All 29 fields including KYC risk rating, PEP status, sanctions screening, and adverse media flags.
Compliance
Pro
$4,999
10,000 records from any single niche. Department-level EDD testing, model calibration, sanctions screening validation. Full spectrum of risk levels and PEP exposure across 31 wealth archetypes.
Compliance Enterprise
$24,999
100,000 records from any single niche. Full-scale institutional testing, regulatory stress tests, enterprise AI training. Complete dataset with Certificate of Sovereign Origin for audit documentation.
FAQ
Frequently Asked Questions
What makes this different from anonymized production data?
Anonymized data starts from real people and removes identifiers. Born-synthetic data starts from mathematical distributions and adds cultural context. There is zero lineage to any real individual — no re-identification risk, no GDPR exposure, no data breach liability. The data was never real to begin with.
Are the KYC fields realistic enough for compliance testing?
Every profile is built on Pareto-distributed wealth with algebraic balance sheet constraints — the same mathematical foundations that govern real UHNWI wealth. KYC fields include PEP exposure across four categories, sanctions screening results with confidence scores, adverse media flags, and source-of-wealth verification. The edge cases are designed to stress-test your EDD pipeline.
How does this help with GDPR Article 25 compliance?
Article 25 requires data protection by design in all processing environments — including test and development. Born-synthetic data satisfies this requirement by construction: there are no personal data subjects, no consent requirements, no data processing agreements needed. Your test environment becomes GDPR-compliant the moment you replace production copies with born-synthetic profiles.
What format is the data delivered in?
All datasets are delivered as JSONL (JSON Lines) within 24 hours of purchase. Each line is a complete profile with all 29 fields. Enterprise tier includes a Certificate of Sovereign Origin documenting the generation methodology, Pareto parameters, and DIAMOND Standard audit results for your compliance documentation.
Can I use this data to train AI models under the EU AI Act?
Yes. EU AI Act Article 10 requires training datasets to be representative, relevant, and governed. Born-synthetic data is documented from generation to delivery — provenance, methodology, statistical properties, and integrity audit results. Full enforcement begins August 2026 with fines up to 7% of global revenue. Using born-synthetic data means your training data governance is documented before the deadline.
