Secure and reliable AI for healthcare and clinical research

We are a research-driven AI team delivering trustworthy, evidence-based models that turn clinical, EHR, and multi-omics data into measurable impact, delivering earlier risk detection, guided therapy, and personalized nutrition plans.

GDPR-ready
Explainable
Evidence-based
Argo illustration — AI in healthcare
Explainable AI models

Transparent algorithms to support clinical decision-making.

Security & privacy

GDPR-compliant pipelines, pseudonymization, and access control.

Clinical validation

Robust and reproducible studies validated by medical experts.

Solutions

Modules ready for clinical practice and research.

Clinical risk prediction
Decision Support

Predictive models to estimate risks (exacerbations, hospitalizations, disease progression) over 6–24 months. Calibrated outputs, feature- and patient-level explainability, integration with clinical workflows.

Therapy decision support
Therapeutics

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.

Personalized nutrition plans
Nutrition AI

Automatic nutrition-plan generation respecting clinical constraints and preferences: calories, macro/micronutrients, allergies, guidelines. Optimization engine with safety checks and rule traceability.

In partnership with

Hospitals, universities, and companies that share our rigorous approach.

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Team

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

TT

Test Test

Research Advisor

Bring trustworthy AI to healthcare

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

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