Polnor.
Research institutes

Reproducible OMOP cohorts, on your data, in your sovereign cloud.

Sovereign by design: hosted on OVHcloud, on infrastructure qualified SecNumCloud 3.2 and HDS-certified, your data never leaves your perimeter. On top, a full OMOP warehouse for reproducible science: the same data model, cohort definitions and tooling as the global OHDSI community.

Hosted on OVHcloudInfra qualified SecNumCloud 3.2HDS-certifiedData in FranceCLOUD Act immune
A worked case

How many patients are eligible for the study?

A cohort definition, run on your own OMOP-standardized data, without a single row leaving your cloud.

app.your-institute.fr / omop● health-blind
omop › cohorts › eligibility.sql
▶ Run-- eligible patients: type-2 diabetes, > 50 yo SELECT count(distinct person_id) eligible FROM condition_occurrence JOIN person USING (person_id) WHERE condition_concept_id = 'T2DM' AND year_of_birth < 1975;
results · study cohort0 rows exported ✓
metricvaluestd
eligible patients4,912OMOP
contributing sites7ref

Illustrative interface and figures, shown to explain the workflow. Not results from a Polnor customer.

The features behind it

Everything up to usable data is automated.

By the time your team writes that query, the hard part is done: the platform has already ingested, de-identified, standardized and quality-checked your data. You start where the question starts.

Automated · standardization

Your raw data, standardized to OMOP

The platform converts your sources (FHIR, HL7 v2, exports) to the OMOP model and maps concepts to the reference vocabularies. Your researchers reuse the same cohort definitions as everyone else, and your results are reproducible.

mappingauto
source→ conceptstd
icd10:E11Type-2 diabetesS
atc:A10BA02MetforminS
loinc:4548-4HbA1cS
Almost everything is automated

The platform does the plumbing. Your researchers do the science.

The repetitive, time-consuming prep runs itself, so your teams spend their time on hypotheses and analysis, not on data wrangling.

Automated by Polnor
Ingestion & refresh
GDPR de-identification
Standardization · mapping
Quality control
Materialization · lineage · access log
Your team decides
the research question
the cohort definition
the analysis protocol
interpretation & publication
Governance

Science you can defend, with full traceability.

Every access is logged, sensitive data is classified, and export follows EHDS-aligned manifests. Because the warehouse runs on infrastructure you control, qualified SecNumCloud and HDS-certified, the provenance of every cohort is unambiguous, and we never train our models on your data.

Request a demo

From raw data to a reproducible cohort, in your cloud.

30 minutes on your protocol: we run the pipeline on a case like yours and show where automation stops and research begins.