Health Data Infrastructure

De-identification built into every step.

Synthetic data to explore without waiting. A secure runtime to produce results you can publish.

Live in production at

Academic Medical Centers Flagship Public Universities RWD Providers

From Data Request to Certified Results

A data platform with built-in privacy compliance.

Your data doesn't have to move Deploy in your cloud or ours

Synthetic Data

Explore and build without waiting.

Generate production-grade synthetic datasets on demand from your own EHR, claims, or registry data. Row-level, multivariate, 95%+ fidelity — validated against your real data, not a benchmark.

What disappears

Human subjects IRB review
BAA negotiation
Restricted data use agreements
Governance review for sharing

"Adults with type 2 diabetes,
diagnosed 2+ years, with at least
one A1C reading above 8.0"

Natural language query

Explore distributions, test inclusion criteria, and assess feasibility — before requesting a single real record.

SELECT age, sex, dx_primary,
       a1c, bmi, medication
FROM encounters
WHERE dx_primary LIKE 'E11%'

SQL query — standard Postgres

Full training datasets for ML pipelines. Build and iterate in your notebook, BI tool, or data platform of choice.

"Generate a shareable dataset
for the COPD readmission study
— match our 2023 volume"

Natural language query

Export or grant Postgres access to collaborators, pharma partners, or multi-site research teams.

For publication, regulatory filing, and production dashboards — you need real data.

Secure Runtime

Produce results with full precision.

Run analytical code against real patient data with a de-identification guarantee on every output. The precision and auditability that publication, regulatory filings, and operational decisions require.

Request early access

Analysis Result Type 2 Diabetes Cohort · 2018–2023