Syntheticore generates secure, compliant, high-fidelity datasets on demand, so your teams can build and test AI on realistic data without ever exposing a real record.
Privacy by design · GDPR / HIPAA / CCPA-aware · Datasets in minutes, not months.
Trusted for AI development, safe testing, and secure data sharing.
Whether you need the platform to generate data yourself or a team to guide your AI strategy end to end.
A SaaS synthetic-data generator. Point it at a dataset and get statistically faithful, privacy-safe records back — on demand, at scale, through the app or the API.
Explore the platform →Strategy and implementation from a team that lives in machine learning and generative AI — from first use case to production, with synthetic data unblocking the whole way.
Explore services →Records are generated, not copied — there's no one-to-one link back to any real individual.
Data with no personal records falls outside much of GDPR, HIPAA, and CCPA scope — shrinking risk and review.
Distributions, correlations, and edge cases are preserved, so models trained on it perform like the real thing.
Generate the datasets you need in minutes — no access tickets, no redaction spreadsheets, no waiting.
Amplify rare fraud patterns, uncommon cases, and edge conditions so your models actually learn them.
Hand realistic data to vendors, partners, and demos — a leaked staging set becomes a non-event.
The generator learns the structure of your source data — how fields relate, cluster, and vary.
Sample brand-new records that match that structure in aggregate, with no real individual inside them.
Measure both sides — utility (does a model perform?) and privacy (can any record be recovered?) — with numbers, not vibes.
Start with one painful, blocked dataset. We'll help you generate it, prove utility and privacy, and wire generation into your dev, test, and partner pipelines.
See what synthetic data looks like on your own datasets. Book a walkthrough of the Syntheticore platform.
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