verifiable synthetic data
Synthetic data you can verify.
Plexoria builds tabular datasets for machine learning where the real data is legally locked away — with interpretable schemas, labelled hard cases, a benchmark in the box, and an Ed25519 signature on every bundle.
A trust brand for synthetic data.
Anyone can generate rows. The hard part is giving a buyer a reason to trust them. Every Plexoria dataset ships the same way — measured, documented, and signed — so you can check what you got instead of taking our word for it.
01 Interpretable
Named, meaningful columns — not anonymised PCA components. Do real feature engineering and understand the data.
02 Labelled hard cases
Fraud is split into named typologies, including covert ones that hug the legitimate distribution — the cases detectors actually miss.
03 Proven, not asserted
A reproducible baseline benchmark ships in every bundle. The quality is a number you can re-run, not a claim.
04 Signed provenance
SHA-256 manifest + Ed25519 signature, with the key fingerprint published out-of-band. Prove the bundle is intact and from us.
Synthetic card-fraud dataset.
50,000 fully-synthetic card transactions at a realistic 0.5% fraud rate, across five labelled typologies. License-clean and GDPR-safe — no real transaction, card, or person is involved. A baseline benchmark proves the signal is learnable and that the covert typologies are genuinely hard.
| Typology | Kind | What it is |
|---|---|---|
card_testing | overt | Micro-amount bursts probing a stolen number. |
cnp_ecommerce | overt | Stolen card used online, elevated amount. |
account_takeover | overt | High-value cash-out, foreign, at night. |
counterfeit_present | hard | Cloned card used in-store — looks in-person. |
friendly_fraud | hard | A genuine purchase later disputed — near-legit. |