The veterinary data gap is over.
Thousands of Italian clinics generate clinical data every day. Argovance collects it, anonymizes it at the source and structures it in native OMOP-CDM — certified and ready for your R&D, without an hour of data cleansing.
OMOP-CDM Standard
Every piece of data is natively mapped to OMOP-CDM — the standard used by FDA and EMA for clinical trials. Zero data cleansing for Pharma.
Certified Real World Evidence
Longitudinal, anonymized, and standardized datasets sold as DaaS to the Life Sciences industry. R&D cost reduction up to 15-20%.
One Health Vision
OMOP-CDM interoperability enables dialogue between human and animal medicine for epidemiological studies and cross-species trials.
Three pharma workflows, one dataset.
Veterinary Real World Evidence mapped to OMOP-CDM, delivered as DaaS for every phase of the pharma R&D cycle.
Pharmacovigilance
Monitor adverse drug reactions and interactions across tens of thousands of real visits. Emerging signals detectable weeks before traditional channels, with full traceability for regulatory audits.
Clinical trials
Pre-screen real veterinary populations. Define cohorts, endpoints, and comparison arms on historical data before recruiting. Reduce design ambiguity and accelerate IRB approval.
Epidemiology & One Health
Zoonotic surveillance, multi-species predictive models, cross-OMOP human/animal studies. The shared standard turns veterinary into a sentinel system for public health.
Argovance vs traditional data sources.
Why a native OMOP-CDM veterinary RWE dataset is structurally different from historical archives and insurance claims databases.
| Dimension | Manual clinical archives | Insurance claims database | Argovance DaaS |
|---|---|---|---|
| Structuring | Free text, heterogeneous formats | Reimbursement codes only | Native end-to-end OMOP-CDM |
| Clinical granularity | Variable per clinic | Low, accounting-focused | High: signs, therapies, follow-up |
| Privacy | Handled after the fact | Limited coverage | GDPR by design, anonymous at source |
| Time to data | Months of data cleansing | Weeks, custom ETL | Real-time, zero ETL |
| One Health interoperability | None | None | Human OMOP ↔ veterinary |
The data exists. The problem was finding it structured.
Native OMOP-CDM datasets from real veterinary clinics. Anonymized at the source, certified, delivered as DaaS. Ready to talk?