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Deep learning in-vehicle medical emergency detection1-10 Employees
  • B2B
  • Early Stage
    Startup in initial stages
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Deep learning in-vehicle medical emergency detection
We are revolutionizing vehicle safety and peace of mind for drivers. Our proprietary deep learning models utilize vitals and visual inputs to understand when a driver is incapacitated because of a heart attack, seizure, stroke, microsleep, diabetic emergency, etc. We're a fast-moving startup working with some of the biggest automotive and fleet clients in the world. Our mission is twofold: proactively stop crashes to save lives and enable mobility for all.
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Samantha Lee
Avatar for Samantha Lee
Princeton EE, Cornell Masters CS, founder of an AI computer vision company focused on medical emergency detection in vehicles.
Valuation

$3M

Funded over

1 round

Latest round

Pre-Seed (May 2021)

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Flexible wfh

Permanent volunteer therapy dog

Community events

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