Synthetic Wealth Data
Built for Financial Services

The definitive synthetic dataset for Reg BI suitability testing. 300 households spanning all risk tolerance profiles, investment objectives, and time horizons — with documented recommendation rationale for each.

1,000 households with complete tax lot histories, unrealized gain/loss positions, and wash-sale scenarios — the gold standard dataset for validating tax-loss harvesting algorithms.

500 retiree and near-retiree households with detailed decumulation scenarios, Social Security optimization paths, RMD sequences, and late-life care events.

500 households with detailed banking layer data: paycheck timing, overdraft cycles, emergency fund adequacy, and auto-pay schedules — purpose-built for cash flow and liquidity product testing.

500 households covering the most operationally complex RIA onboarding cases: divorce in progress, mixed immigration status, special needs dependents, business owner complexity, and more.

300 households with alternative investment allocations across private funds, interval funds, non-traded REITs, and private credit — with accreditation status, liquidity constraints, and suitability documentation.

1,000 households with documented fee structures, service levels, asset mixes, and peer comparison data — purpose-built for testing fee reasonableness under DOL fiduciary standards.

500 households with documented ESG values preferences, actual portfolio holdings, and values-portfolio misalignment scenarios — for testing ESG screening and values-based investing platforms.

200 multi-generational households with heir profiles, engagement patterns, wealth transfer timing scenarios, and next-gen capability assessments — for building and testing client retention tools.

300 households covering the full active duty to veteran financial transition: VA benefits optimization, TSP rollover decisions, disability rating scenarios, and civilian income transition planning.

500 prospect profiles with health underwriting classifications, 50 policy variations across whole life, IUL, VUL, and fixed/indexed annuities — for illustration software validation and compliance testing.

200 ultra-high-net-worth households ($10M+) with complex entity structures: trusts, LLCs, FLPs, and private foundations — for estate planning software validation and family office consulting.

500 households with student loan complexity spanning PSLF eligibility, IDR plan optimization, refinancing decisions, marriage penalty scenarios, and employer benefit coordination.

200 households with documented financial vulnerability patterns: elder abuse indicators, identity theft risk profiles, account takeover signals, and phishing susceptibility factors.

150 households in divorce transition with asset tracing documentation, lifestyle analysis, support calculation scenarios, hidden asset detection patterns, and QDRO modeling.