Semantically harmonized data integration.

Where your proprietary data meets curated public data — multi-omics, clinical and pre-clinical modalities harmonized side by side, with metadata normalized so every dataset is AI-ready, governed, and traceable from the moment it lands.

Request demo → All four layers

Overview

Data Hub

Every AI application worth running is bottlenecked by the data underneath it. The Data Hub is the foundation layer of the Biomedical Intelligence® Cloud — where proprietary data meets curated public data, and multi-omics, clinical and pre-clinical modalities are harmonized side by side.

Metadata is normalized and harmonized so every dataset is AI-ready — aligned across studies, normalized across schemas, governed and audit-traceable from the moment it lands. It’s a curated, governed foundation — the clean substrate every layer above reasons over directly.

How it works

Ingest. Curate. Activate.

Data arrives from any source, gets curated and harmonized into a governed foundation every layer above can reason over — without rebuilding pipelines per study.

01 · Ingest

From any source

Your proprietary data and curated public data — multi-omics, clinical, pharmacology, imaging, pre-clinical — flow in from any source via intuitive upload, command line, or a strong API that integrates with your existing pipelines.

02 · Curate

Harmonize & normalize

Metadata is normalized, ontologies harmonized across studies and schema differences resolved — optionally automated at scale by CuratorAI, with every transformation logged and reviewable.

03 · Activate

An AI-ready foundation

The result is a governed data foundation the App Engine, CURIE KG and every AI application can reason over — without re-harmonization.

By the numbers

14K+

datasets harmonized, including Sample Universes

1,800+

single-cell datasets, from 751 studies

~200M

single cells

3.2M+

analyses run on the platform

Omics · clinical · genetics · perturbation · pathways · single-cell · spatial — harmonized side by side, powering disease-specific Atlases and Sample Universes.

Get in touch

See Data Hub in action.

Walk through this layer with an applications scientist — focused on the questions that matter to you.

Request demo → Back to platform