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Shifting the paradigm

Where technology
meets Human

Volv Global personalises healthcare by generating insight into patients and diseases, powered by data-driven AI and machine learning.

Our proprietary machine learning methodologies serve pharmaceutical companies, reducing costs across the healthcare ecosystem and improving outcomes for people living with disease.

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Personalising the
patient journey

Volv Global tailors diagnosis, treatment and care pathways to each patient's own data, replacing generic assumptions with the precision and personalisation their specific case actually needs.

Targeting patient
populations

Volv Global's methodology characterises and segments patient populations, giving healthcare organisations and patients clearer pathways, and pharmaceutical teams more efficient development and commercialisation.

Expanding medical knowledge

Volv Global generates new understanding of patient biomarkers, phenotypes, clinical features and endpoints, helping clinicians see how a disease presents.

Improving health-
care efficiency

Late and incorrect diagnosis carries an avoidable cost across the system, from unnecessary testing to delayed care. Volv Global's methodology helps payers and providers lower that burden and improve outcomes.

Patient insights from real-world data, Volv Global

Volv Global helps you work smarter

Adding value through unprecedented insights

Volv Global uses AI and real-world data to generate knowledge about difficult-to-diagnose diseases.

Clients use these insights to strengthen clinical development strategy, deepen disease understanding, and find opportunities to develop diagnostic tools faster.

The same insights support repositioning existing drugs to extend their R&D viability, helping clients reach new markets and work smarter.

Volv Global, in numbers

Billion medical events
13.69
Billion person-years of health data
4.22
Published first AI/ML papers
2009

Volv Global delivers high-value solutions at speed

Impact across the product lifecycle

Clinical
Development

De-risk clinical strategy, strengthening trial planning around a clearer patient picture.

Value and
Access, HEOR

Generate real-world evidence, supporting pricing and reimbursement decisions.

Medical
Affairs

Expand medical understanding with new real-world data insight into disease progression and outcomes.

Commercial
Excellence

Support a strong launch and extend the product lifecycle by finding more patients sooner.

inCare finding eligible patients, Volv Global

Driving innovation in rare disease & healthcare AI

AI Powered Solutions for Rare Disease and Healthcare Innovation

At Volv Global, we combine advanced AI in healthcare with real-world data (RWD) to deliver transformative solutions for rare and difficult-to-diagnose disease patients. Our proprietary methodology for machine learning in healthcare technology enables:

  • Detecting rare diseases faster and more accurately
  • Generating real-world evidence (RWE) for clinical trials and regulatory submissions
  • Optimising the patient journey with data-driven insights
  • Reducing time and costs in drug development and market access

By partnering with Volv Global, pharmaceutical innovators, healthcare providers, and policymakers gain the tools to make smarter, faster, and more impactful decisions across the entire healthcare ecosystem.

New knowledge, at speed

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Introducing inTrigue

Advanced, proprietary machine learning technology for patient-disease insights

With inTrigue, our flagship machine learning methodology, Volv Global transforms disease management and treatment at the individual patient level, along the patient journey and optimising patient outcomes.

Discover inTrigue

Understanding patient phenomenology, across all diseases.

Volv Global’s suite of services

inAdvance
detects
disease earlier

Surface subtle patterns among biomarkers, recognising patients on a trajectory towards a condition sometimes years before conventional signs appear.

inTrigue
finds
patients

Grow the pool of real-world evidence on a disease, giving healthcare teams a clearer view of who is affected.

inFlow
predicts what
happens next

Draw on real-world evidence to model disease progression for patients already diagnosed, anticipating response and outcomes clinicians can plan around.

inCare
finds eligible
patients

Find patients who are already diagnosed but not yet on treatment, closing the gap between diagnosis and care for healthcare organisations and patients alike.

Volv Global machine learning methodology for rare diseases

The human story

Improving lives with better tools and treatments

Volv Global gives pharmaceutical innovators insight into difficult-to-diagnose diseases, so they can develop effective technology and treatments.

For the patient, this can mean an earlier diagnosis, a life-changing drug, or the chance to connect with a wider community for education and support while living with a rare disease.

Patient resources

Every individual matters

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Proprietary Machine Learning Methodology