Synthadata runs on-premise and generates synthetic healthcare records that behave like the real thing — ready for research, AI training, and cross-partner collaboration, without a single raw row crossing your boundary. Live engine. Private demos by request.
Synthesis happens on-premise. Raw patient records never cross into our systems. Only synthetic output leaves — if and when you decide it should.
Datasets that hold up for treatment-effect studies, longitudinal analysis, and the causal questions healthcare research actually asks — not only the ones that come out clean on a slide.
Structured records, clinical notes, and physiological signals generated as one consistent synthetic patient — not assembled from disconnected pipelines.
Configurable release settings for every audience — from internal collaboration to regulatory submission to public release. Formal risk reporting at each level.
Healthcare is the focus — the first commercial deployment, the deepest domain modeling, the core technical work. The architecture underneath isn't healthcare-specific and extends to other regulated, privacy-bound data domains over time. But that's where we're going, not where our attention is today.
The engine is running today. We work directly with each team to understand the data, the use case, and what success looks like.