Our mission is to accelerate access to care.

VST was founded in 2013 by an engineer who wanted to prove that you don’t have to wait for a fall or a heart attack to be cared for—predictive AI can make healthcare simple, affordable, and accessible without compromising the quality of care.

The VirtuSense Story

  • Our History

    It started with an unexpected fall. After a pursuit for answers, VirtuSense was born and rapidly became the solution for unpredictable falls nationwide.

  • 2009

    Deepak Gaddipati’s grandmother fell while walking to the bank and broke her hip. She died within ten days from the injury. Even though there were several physicians in their family, no one knew that she was a fall risk. 

    After the death of his grandmother, Deepak dedicated himself to learning why no one recognized her as a fall-risk. 

    He spoke with everyone from doctors to housekeepers to discover why there had been no prior interventions, but the answers left him wanting.

  • 2012

    Deepak founded VirtuSense to develop a tool that could proactively identify fall-risk in older adults. Our first product, VSTBalance, did exactly that. Using artificial intelligence and machine vision, VSTBalance was able to objectively conduct evidence-based assessments and compare the results to population norms to reliably measure fall-risk.

  • 2014

    VSTBalance was launched, and that was just the beginning.

  • 2019

    After launching VSTBalance, we developed our next product, VSTAlert. This system uses infrared rays to predict when a patient is getting ready to exit their bed in both acute and post acute care.

  • 2020

    The success of VSTAlert led the charge in launching our remote monitoring product, VSTOne. COVID-19, uncovered new needs in hospitals and long-term care, such as remote monitoring to reduce PPE and staff exposure.

Our Values

because we believe that we can make a difference

with our clients and ourselves

in everything we pursue

in who you are, what you want, and where you’re going

on every level