Rezilient are ANA Avatar XPRIZE finalists!

October 21, 2021

We’re thrilled to be through to the finals of the ANA Avatar XPRIZE finals! 

Jeff, Mohit and Ilker had a successful semifinals testing week in Miami in September, and they’re now gearing up for a tough competition in summer 2022–and a shot at the $8M finals prize purse.

What's the XPRIZE?

The $10M ANA Avatar XPRIZE recognizes world-leading innovators who are integrating emerging and exponential technologies to enable humankind to take the next step in transcending the limits of physical transportation. 

Rezilient’s robotic avatar technology is one of the fifteen finalist teams focused on the development of an avatar system that will transport a doctor’s sense, action and presence to a remote location in real-time. That is, a doctor using a robotic system to interact with a patient at a distance.

What being selected as an ANA Avatar XPRIZE finalist means for Rezilient 

If our CloudClinics are a big step beyond where primary care is today, then our robotics are a giant leap into the future of specialist care.

The ANA Avatar XPRIZE is a chance for us to accelerate the development of our robotic avatar technology and implement it in our CloudClinics ahead of our original roadmap. This means taking a bigger chunk of a $56B industry and becoming the first to deliver remote specialty care.

Our robotics set us apart in care delivery, giving our doctors unprecedented control to perform specialist physical assessments like dermatology, cardiology, ophthalmology, otolaryngology, obstetrics, x-ray and vascular exams from anywhere in the world in real-time.

Picture a patient who arrives at a CloudClinic with a suspected broken ankle–our robotics will enable the physician to remotely diagnose a fracture without having to send that patient to an ER or specialist. Patients with high care needs will be able to see multiple specialists at one convenient CloudClinic location without traveling for hours and waiting in multiple waiting rooms. 

The social impact potential is huge: there are plenty of doctors in developed countries who are willing to provide humanitarian medical care but can’t relocate to the regions that desperately need them. Our robotics could collect data on an entire population–some of whom may not have seen a doctor in years–and record their complaints for ML to filter and a doctor to interpret and treat. 

And that’s just the beginning. 

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