Synthetic data, engineered to be defensible — not just downloadable.
Real data is often scarce, restricted, or simply doesn't exist yet for the question a researcher, student, or analyst is trying to answer. Dataset Foundry is the platform behind a growing set of synthetic data line families — each one modeling a specific domain with documented, defensible assumptions instead of random noise, deterministic enough to regenerate byte-for-byte from a seed, and built from the start to survive a citation check. Insurance, Finance, Health, and Agriculture are all live today. Ghana is every line's current default, selectable per generation on most lines like any other config — not a restriction baked into the family; more countries and more domains are both on the roadmap.
One domain at a time, built to the same standard
Every line family — insurance, finance, health, and agriculture today, others later — owes its own domain the same bar: a documented rationale behind every field, its own hypothesis table, its own methodology page, its own configuration panel. Nothing is shared just to look consistent; the discipline is what carries across, not a shared generic UI.
Insurance
Insurance risk data — Ghana live, country-selectable
Motor, life, health, and Home & Property — four lines, each its own documented frequency/severity model, own hypothesis table, own methodology page. Deterministic: seed + config + generator version always reproduces the same dataset, byte for byte.
Built to be cited — every download carries a manifest, checksum, data dictionary, and a ready-made citation block (APA/MLA/Chicago/BibTeX).
Open InsuranceFinance
Finance risk data — Ghana live, country-selectable
Mobile Money and Micro-Credit & Susu Scoring — deliberately non-insurance (no frequency/severity model to reuse), proof the platform pattern holds outside insurance too. Same seed + config + generator version determinism as every insurance line.
Same citation discipline as Insurance — manifest, checksum, data dictionary, and a ready-made citation block on every download.
Open FinanceHealth
Clinical risk data — Ghana live, country-selectable
Breast Cancer and Chronic Kidney Disease — a diagnostic workup's malignancy probability and a renal risk assessment's CKD-diagnosis probability, each optionally extended with its own two-stage severity/staging fields. Deliberately clinical rather than insurance/finance-shaped: no policy or loan window, no name field. Same seed + config + generator version determinism as every other line.
Same citation discipline as Insurance and Finance — manifest, checksum, data dictionary, and a ready-made citation block on every download.
Open HealthAgriculture
Agronomic risk data — Ghana only, today
Crop Yield — a single farm plot's growing-season shortfall outcome, optionally extended with a yield-loss-percentage severity measure for shortfall plots. Deliberately agronomic rather than insurance/finance/health-shaped: no policy, loan, or clinical window, no name field. Same seed + config + generator version determinism as every other line — no country parameter yet, though, unlike every family above.
Same citation discipline as every family above — manifest, checksum, data dictionary, and a ready-made citation block on every download.
Open AgricultureDeterminism is the product
Seed, config, and generator version always reproduce the exact same dataset. A citation isn't a claim you have to take on faith — a reviewer can regenerate the dataset from the manifest and diff the checksum themselves.
Synthetic, not random
Every field exists to encode a documented, defensible assumption about how the real-world phenomenon actually behaves — whatever that domain's own literature says, not a guess dressed up as data.
"Good research shouldn't stall because the data doesn't exist yet. Dataset Foundry exists so the next researcher who hits that wall can generate their way past it — with something they can actually defend in front of a committee."