Patient with Healthcare Nurse


We are a B2B SaaS platform that supports the clinical decision-making for doctors at hospitals. We use proprietary AI technology (patent pending) to track, predict, and intervene to improve treatment outcomes for metabolic health.


Graphic Shapes

Bring the appropriate data to the table

  • AI is GIGO (garbage in, garbage out). Therefore, knowing the right data is critical.

  • Physicians need to be involved at the beginning of the process.

  • Physicians and data scientists need to interact seamlessly.

Data Processing

Drive better patient outcomes

  • By identifying patients at risk, taking preventive measures, and initiating timely invention.

  • Factors like age and socioeconomic status should not affect your ability to use the healthcare system.

Healthy Snack

Make changes that stick

  • By translating clinical objectives to relatable outcomes that patients are likely to follow.

  • Personalize the recommendations to fit your lifestyle and habits so that the recommendations are not short-lived.

Construction Signs

Warn and raise red flags but sparingly

  • Raising warnings and red flags for preventing bad outcomes in both the short and the long term.

  • We are conscious of notification fatigue. Hence, we do not overwhelm users with excess inputs.

  • We realize that the doctors already have a lot on their plates. So, we work on optimizing their time so that they can do what matters the most - to treat patients.


Account for the error in data collection

  • This is probably the most understated and impactful use of AI in this context - to detect and account for the unwitting errors.

  • One of the ways of doing it is by defining frameworks that raise flags on detecting unusual behavior like a faulty device.

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