InoHealth HealthTech Case Study

CoCompetence has provided technical advisory and development support for InoHealth's advanced wellness platform that transforms routine blood data into personalized health insights. The platform leverages machine learning algorithms trained on data from over a million individuals to deliver precision analytics tailored to each user's unique age, body, and health profile. InoHealth's technology suite includes three core algorithms: InoRange translates complex lab results into personalized reference ranges specific to each individual, showing exactly what optimal health looks like for them. InoCore distills biomarker data into clear visual insights about the body's internal balance, making it easy to identify shifts and patterns. InoAge provides a biological age assessment, revealing how lifestyle choices impact aging and which biomarkers are driving rejuvenation or acceleration. The platform's mission focuses on extending healthspan (the years lived in good health) rather than just lifespan. Through collaborative care between users and healthcare providers, InoHealth enables proactive wellness decisions backed by continuous tracking and personalized recommendations. The system turns complex health data into simple, actionable insights that empower users to optimize their wellness journey. We have been involved from the early stages of development and continue to support InoHealth in advancing their platform as it helps users take control of their health with data-driven precision.

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Inohealth

Precision Health Intelligence

Personalized health platform using machine learning and data from over one million individuals to transform blood data into actionable wellness insights.

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