Gaize

Gaize

Real-time impairment detection for cannabis and other drugs.

12 followers

Gaize has solved the challenge of detecting impairment in real-time from cannabis and other drugs. Now, businesses with safety sensitive workers can fairly and objectively evaluate staff for impairment in the moment.
Gaize gallery image
Gaize gallery image
Gaize gallery image
Gaize gallery image
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Launch Team / Built With
AppSignal
AppSignal
Built for dev teams, not Fortune 500s.
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What do you think? …

kenfichtler
Maker
📌
Hi all! I'm Ken Fichtler, founder and CEO of Gaize. During my tenure as Director of Economic Development for Montana, I witnessed firsthand the challenges that cannabis legalization presented to workplace and public safety, as well as the unfair treatment that cannabis users endured from chemical drug tests. Traditional drug tests cannot distinguish between past use and current impairment, creating a deeply unfair situation for cannabis users. These tests commonly lead to adverse employment action or impaired driving charges for safe and responsible cannabis users as a result. We need a test for actual impairment from cannabis and other drugs and that's what we've built. Gaize is a real-time impairment detection platform that objectively measures current impairment by conducting a series of automated eye tests based on the Drug Recognition Expert process. We conduct tests using a VR headset with embedded eye tracking sensors, then analyze the resulting data using a combination of machine learning and analytical models. The product is over 98% accurate today and getting better all the time. Our goal is to provide businesses and law enforcement with a fair tool that allows them to maintain safety without unjustly affecting those who use cannabis responsibly. ​The product is used today by some of the top safety-sensitive businesses in the US. I'm eager to hear your thoughts!
Evgeny

I think it would be cool if the product will be able to detect alcohol as well as drugs. In this case that probably would be almost complete solution for unwanted worker detection