About Us

Our vision

Who we are?

FeelBetter empowers health organizations with precise Pharmaco-Clinical insights that optimize patient outcomes and improve bottom-lines

By:

Personal and precise pharmacology
Improved Financial outcomes through precision optimization
Precise insights for better living

Personal - Powered by patient-specific data to optimize patient outcomes

Data driven - Driven to create actionable insights for better business results

Clinical - Based on clinical data and knowledge

Our Co-founders Story

At a certain point in time, each one of us becomes a caregiver; it can be to your newborn child, your elderly parents or your partner.
Today there is so much information available, be it patient-specific health data or continuous new research or new guidance that is published, that it is impossible for the clinician/ caregiver/ patient to always be aware of all that needs to be considered for complex patients’ health decisions.

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Coming from the pharmaceutical and deep high-tech sectors, we were surprised by the gaps in how automation, big data and machine learning are used in other industries compared to how they are implemented in healthcare in general, and specifically in the pharmacology and clinical settings.

In 2018, we decided to establish FeelBetter in order to leverage advanced technology and leading-edge machine learning to empower providers, clinicians, caregivers and patients.

By providing patient-specific decision-support solutions that can identify those patients that are at-risk and provide insights regarding their gaps in care, we can improve the patient’s wellbeing and their health outcomes.

FeelBetter combines the clinical and pharmacology expertise of our clinical team together with advanced algorithms and machine learning led by our technology team, to create Pharmaco-Clinical Intelligence that has already improved clinicians’ decisions and patient outcomes at scale.

Our employees, investors and board members are a combination of health and technology leaders with balanced representation of both genders.