What is synthetic financial data?
Synthetic financial data is fabricated but realistic accounting and payments data — invoices, bills, payroll, ledgers — used to test software without touching real records.
Why it exists
Real financial data is sensitive, scarce, and legally fraught to test against. Synthetic data lets teams build and evaluate accounting, fintech and financial-AI products safely — provided it's realistic enough to be meaningful.
Realistic vs. merely random
Random rows aren't useful: real books reconcile. In good synthetic data every invoice ties to a payment ties to a bank deposit, and the totals add up the same way every time. Fictix generates whole companies with that cross-system coherence built in.
Questions
Is synthetic financial data the same as fake data?
It's fabricated, but the distinguishing trait is realism and internal consistency — books that reconcile across systems, not arbitrary values.
Can it contain real people's information?
No. Properly generated synthetic data is fictitious; any resemblance to a real person or company is coincidental.