
Developing a cost-effective, simple to use and a time efficient solution for impairment screening1-10 Employees
- B2B
- Early StageStartup in initial stages
Guard-Ex careers
PROBLEM:
The current devices and methods in the market today are inaccurate and take an extensive
amount of time. They also do not provide enough evidence to hold a strong conviction.
Chemical traces in saliva do not correlate to impairment as drugs linger in a body for longer
periods and individuals metabolize drugs at different rates. Due to the inaccurate screening
methods for impaired drivers, many DUI charges have been dismissed without a charge. “In
1998, 89% of impaired driving incidents were cleared of charge, in 2015, the proportion
was 71%” (Perreault, S., 2016).
SOLUTION:
Unlike competitors, the GX-420 does not look for chemical presence in a person’s saliva but
instead, a person’s involuntary eye patterns with the use of computer vision and machine
learning. When the GX-420 screens for impairment, it takes into consideration the individual’s
physiological state rather than traces found in saliva. The GX-420 uses a unique
algorithm which automates several eye tests which are approved to be conducted manually
by the governing International Associations Chiefs of Police (IACP) as the presence of certain
patterns identified from the eye tests are scientifically proven to correlate with impairment.
The current devices and methods in the market today are inaccurate and take an extensive
amount of time. They also do not provide enough evidence to hold a strong conviction.
Chemical traces in saliva do not correlate to impairment as drugs linger in a body for longer
periods and individuals metabolize drugs at different rates. Due to the inaccurate screening
methods for impaired drivers, many DUI charges have been dismissed without a charge. “In
1998, 89% of impaired driving incidents were cleared of charge, in 2015, the proportion
was 71%” (Perreault, S., 2016).
SOLUTION:
Unlike competitors, the GX-420 does not look for chemical presence in a person’s saliva but
instead, a person’s involuntary eye patterns with the use of computer vision and machine
learning. When the GX-420 screens for impairment, it takes into consideration the individual’s
physiological state rather than traces found in saliva. The GX-420 uses a unique
algorithm which automates several eye tests which are approved to be conducted manually
by the governing International Associations Chiefs of Police (IACP) as the presence of certain
patterns identified from the eye tests are scientifically proven to correlate with impairment.
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Rahul Malhotra
Chief Research Officer @Guard-Ex. Entrepreneur, capitalizing on opportunities to create excelling businesses and to assist in the growth of existing start-ups.
Dastiger Khan
A growth hacker that founded two social ventures that helped educate kids in Pakistan along with a venture that tackles the issue of driving impaired.
Harmeet Chauhan
WLU BBA 2020, Finance. CPA candidate. Expertise in finance, AutoCAD design/printing, growth, taxes and cash flow planning.
Valuation
$2M
Funded over
3 rounds
Latest round
Seed (May 2019)
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