VAULTHAUS

Faster Research from Data You Trust

Scaling Trusted Health Data

Getting access to clinical data for research is hard, and turning hospital records into a high-quality, research-grade dataset takes months.

The bottleneck isn't just technology — it's the limited time of clinical staff to curate data, and the rigorous diligence required by DPOs and IT teams to protect patient privacy.

Countless important studies are delayed or never happen at all due to long lead times and high costs.

Complex maze representing challenges in clinical data research

Trusted data. Faster insights. Real impact.

VaultHaus builds AI-powered tools for data cleaning, reproducible study creation, and secure collaboration.

We help researchers, registries, and hospitals transform existing health data into high-impact, repeatable studies.

No new infrastructure, ETL pipelines, or risky data transfers.

With VAULTHAUS, we achieved in one week what would normally take a year.

Elsa Vieira Sousa, PhD - ULSM, Reuma.pt

How VAULTHAUS Works

Design reproducible studies using templates
1

Study Designer

Researchers translate their clinical questions into reproducible study code using prebuilt or custom templates.

2

Plug Data

Hospitals connect local data to the study code. Start from any data source (Excel, Databases, Data Capture, APIs) and data format (Raw, OMOP, Custom Schemas).

Connect local data from any source and format
Clinician reviewing and curating data with AI assistance
3

Curate Data

Site Clinicians map and review only ambiguous data using local AI suggestions, maximizing their impact in minutes.

4

Run Locally

Study code runs securely on the curated data at the source, preserving patient privacy and dramatically accelerating ethics approvals.

VAULTHAUS running locally in a browser
5

Reuse & Connect

Curation is saved and reused to continually improve data quality. Make your study multicentre, with Federation and Private Linkage.

Request a Demo

See how VAULTHAUS can accelerate your research workflow.