Argo is research-driven AI team building AI-powered clinical decision support tools that help primary care physicians detect chronic kidney disease earlier. Our proprietary, evidence-based risk prediction models, validated on 20,000+ real diabetic patient records, turn clinical, EHR, and multi-omics data into measurable impact, enabling earlier risk detection, and guided therapy decisions.

Transparent algorithms to support clinical decision-making.
GDPR-compliant pipelines, pseudonymization, and access control.
Robust and reproducible studies validated by medical experts on 20,000+ real patient records.
Modules ready for clinical practice and research.
Predictive models to estimate risks (exacerbations, hospitalizations, disease progression) over 6–24 months. Calibrated outputs, feature- and patient-level explainability, integration with clinical workflows.
Data-driven recommendations for personalized therapies (dose, combinations, interactions) based on evidence and real-world data. The system does not replace clinicians: it provides rationale, alternatives, and confidence levels.
Updates from the lab and the clinic.

Argo S.r.l. has been selected to participate in INNOVIT, a strategic initiative based in San Francisco supporting the international expansion of Italy’s innovation ecosystem.

A diverse team with experience in AI, medicine, and data governance.








From research to practice: validated models, security by design.