Ken Fichtler's guest appearances

Ken Fichtler

Digital Innovations in Oil and Gas with Geoffrey Cann

A New Angle

Reefer MEDness

Found In The Rockies

OwlTail

This week’s guest is Ken Fichtler, founder and CEO of Gaize, a Montana based startup that recently launched a cannabis impairment detection product. Ken served as chief business development officer for four years during the Bullock administration and is a seasoned vet of the Montana entrepreneurship scene.Before they dive into Gaize, Justin asks Ken about his shift from entrepreneurship to public service and what he sees as the macro-level trends of employment. Ken talks about a question that lead him to Gaize — the fact that he wasn’t aware of any system that existed to detect cannabis impairment — and how now he’s created the world’s largest dataset of cannabis impaired eye movement.Learn more about Gaize here: https://www.gaize.ai/Transcript here: https://docs.google.com/document/d/1sXDdjD3MPJMronSQksCaxfhrDYLNjn3B26F6rLLvCAw/edit

This week’s guest is Ken Fichtler, founder and CEO of Gaize, a Montana based startup that recently launched a cannabis impairment detection product. Ken served as chief business development officer for four years during the Bullock administration and is a seasoned vet of the Montana entrepreneurship scene. Before they dive into Gaize, Justin asks Ken about his shift from entrepreneurship to public service and what he sees as the macro-level trends of employment. Ken talks about a question that lead him to Gaize — the fact that he wasn’t aware of any system that existed to detect cannabis impairment — and how now he’s created the world’s largest dataset of cannabis impaired eye movement. Learn more about Gaize here: <a href="https://www.gaize.ai/" rel="nofollow" target="_blank">https://www.gaize.ai/</a> Transcript here: <a href="https://docs.google.com/document/d/1sXDdjD3MPJMronSQksCaxfhrDYLNjn3B26F6rLLvCAw/edit" rel="nofollow" target="_blank">https://docs.google.com/document/d/1sXDdjD3MPJMronSQksCaxfhrDYLNjn3B26F6rLLvCAw/edit</a>

Detecting Cannabis Impairment with Ken Fichtler

"There has been no device historically that can detect cannabis impairment in real time. Cannabis works very differently in the body than does alcohol. So you can measure the amount of alcohol in the body and derive the experienced impairment from that number. The same is not true of cannabis." In this episode, I’m in conversation with Ken Fichtler, the founder and CEO of Gaize. Cannabis is now legal in many places where oil and gas is produced, refined and distributed. Cannabis is increasing in  potency, people consume it more, and it lasts longer in body than alcohol, but with different impairment impacts. Without a better way to detect impairment, companies may simply not bother with any testing. Ken set out to find a digital solution to this problem, which is way harder than it sounds, but Gaize is now ready for prime time.  "Is there a way we can currently detect cannabis impairment? And the only thing that I could find were these drug recognition, expert eye tests." Ken Fichtler is the founder and CEO of Gaize, a first of its kind real-time impairment detection platform. Gaize uses analyzes eye movement changes using artificial intelligence to discover impairment from cannabis and other drugs. He’s a prior founder, proven operator, angel investor, and most recently served as Director of Economic Development for the State of Montana under Governor Steve Bullock. There he was responsible for adding thousands of jobs paying radically more than the state’s average wages, recruited leading technology companies to the state, and managed the economic response to the COVID-19 pandemic. Ken lives in Missoula, Montana with his family where he enjoys a broad variety of outdoor activities and serves on several boards. "Each class of drug has a unique bio signature that manifests in the eyes. And that basically just translates to a unique way in which the eye movement changes in response to that drug or to the impairment from that drug." USEFUL LINKS   LinkedIn profiles (personal, business):     Personal: https://www.linkedin.com/in/kenfichtler/   Business: https://www.linkedin.com/company/gaizesafety    Twitter handles:    @GaizeSafety   @kenfichtler    Facebook pages:     https://www.facebook.com/gaizesafety    Website:      https://www.gaize.ai   

"There has been no device historically that can detect cannabis impairment in real time. Cannabis works very differently in the body than does alcohol. So you can measure the amount of alcohol in the body and derive the experienced impairment from that number. The same is not true of cannabis." In this episode, I’m in conversation with Ken Fichtler, the founder and CEO of Gaize. Cannabis is now legal in many places where oil and gas is produced, refined and distributed. Cannabis is increasing in  potency, people consume it more, and it lasts longer in body than alcohol, but with different impairment impacts. Without a better way to detect impairment, companies may simply not bother with any testing. Ken set out to find a digital solution to this problem, which is way harder than it sounds, but Gaize is now ready for prime time.  "Is there a way we can currently detect cannabis impairment? And the only thing that I could find were these drug recognition, expert eye tests." Ken Fichtler is the founder and CEO of Gaize, a first of its kind real-time impairment detection platform. Gaize uses analyzes eye movement changes using artificial intelligence to discover impairment from cannabis and other drugs. He’s a prior founder, proven operator, angel investor, and most recently served as Director of Economic Development for the State of Montana under Governor Steve Bullock. There he was responsible for adding thousands of jobs paying radically more than the state’s average wages, recruited leading technology companies to the state, and managed the economic response to the COVID-19 pandemic. Ken lives in Missoula, Montana with his family where he enjoys a broad variety of outdoor activities and serves on several boards. "Each class of drug has a unique bio signature that manifests in the eyes. And that basically just translates to a unique way in which the eye movement changes in response to that drug or to the impairment from that drug." USEFUL LINKS <ul> <li> LinkedIn profiles (personal, business):  </li> <ul> <li> Personal: <a href="https://www.linkedin.com/in/kenfichtler/" rel="nofollow" target="_blank">https://www.linkedin.com/in/kenfichtler/</a> </li> <li> Business: <a href="https://www.linkedin.com/company/gaizesafety" rel="nofollow" target="_blank">https://www.linkedin.com/company/gaizesafety</a> </li> </ul> <li> Twitter handles: </li> <ul> <li> @GaizeSafety </li> <li> @kenfichtler </li> </ul> <li> Facebook pages: </li> <ul> <li> <a href="https://www.facebook.com/gaizesafety" rel="nofollow" target="_blank">https://www.facebook.com/gaizesafety</a> </li> </ul> <li> Website:  </li> <ul> <li> <a href="https://www.gaize.ai" rel="nofollow" target="_blank">https://www.gaize.ai</a> </li> </ul> </ul>

Ken Fichtler on Using Digital Tools To Detect Worker Impairment

There are very few, if any, reliable methods of measuring cannabis impairment. Road-side sobriety tests done by trained Drug Recognition Experts are very subjective and workplaces are limited with how they assess employees with safety sensitive jobs. Back by video evidence, Gaize offers real-time impairment screening within 6 minutes. This portable AV device is considered accurate, providing objective eye behaviours when deciding when an individual is impaired on Cannabis. Considered the first impairment detection platform released to the marketplace, Gaize will search for answers by finding the six ways your eyes give you away.Music by:Almadura– Tu Rumba- https://www.youtube.com/watch?v=RTzL-G2kIA8Additional Music:Desiree Doriondesireedorion.comMarc Clementmarcclementmusic.com﻿Transcripts, papers and so much more at: reefermed.ca

There are very few, if any, reliable methods of measuring cannabis impairment. Road-side sobriety tests done by trained Drug Recognition Experts are very subjective and workplaces are limited with how they assess employees with safety sensitive jobs. Back by video evidence, Gaize offers real-time impairment screening within 6 minutes. This portable AV device is considered accurate, providing objective eye behaviours when deciding when an individual is impaired on Cannabis. Considered the first impairment detection platform released to the marketplace, Gaize will search for answers by finding the six ways your eyes give you away. Music by:Almadura– Tu Rumba- <a href="https://www.youtube.com/watch?v=RTzL-G2kIA8" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=RTzL-G2kIA8</a> Additional Music:Desiree Dorion<a href="http://www.desireedorion.com/" rel="nofollow" target="_blank">desireedorion.com</a> Marc Clement<a href="https://www.facebook.com/MarcClementMusic/" rel="nofollow" target="_blank">marcclementmusic.com</a> ﻿Transcripts, papers and so much more at: <a href="https://reefermed.ca/" rel="nofollow" target="_blank">reefermed.ca</a>

E101 - Gaized and Convicted with Ken Fichtler

Summary:In today’s episode, I talk with Ken Fichtler, the founder of Gaize. We discuss how the company is trying to solve the DUI testing for cannabis. Ken talks about his background and what let him to start Gaize. We talk about the current cannabis impairment testing and challenges that come with the current model. We discuss Ken’s solution and how he combined VR technology with machine learning to develop his product. We discuss Ken’s early vision, and the potential use cases beyond law enforcement. We dive into the questions around the cannabis testing in companies. We talk about the legalization politics and what’s next for the cannabis industry. We dive into the clinical research and the challenges around it. We discuss the future Gaze and Ken’s vision. Here’s a closer look at the episode:Solving cannabis DUIs Ken’s background and his time with the state government His last year as an appointed official during the pandemic What led Ken to start Gaze and the idea behind the product Cannabis impairment testing Challenges with cannabis testing Ken’s solution, the VR Headset and machine learningKen’s early vision Use cases beyond law enforcement Questions around the cannabis testing in companies From the consumer’s perspective Legalization politics and what’s next The future of Gaize An inside look into clinical research Resources:Website: https://www.gaize.ai/Ken’s email: ken@gaize.ai

Summary:In today’s episode, I talk with Ken Fichtler, the founder of Gaize. We discuss how the company is trying to solve the DUI testing for cannabis. Ken talks about his background and what let him to start Gaize. We talk about the current cannabis impairment testing and challenges that come with the current model. We discuss Ken’s solution and how he combined VR technology with machine learning to develop his product. We discuss Ken’s early vision, and the potential use cases beyond law enforcement. We dive into the questions around the cannabis testing in companies. We talk about the legalization politics and what’s next for the cannabis industry. We dive into the clinical research and the challenges around it. We discuss the future Gaze and Ken’s vision. Here’s a closer look at the episode:<ul><li>Solving cannabis DUIs </li><li>Ken’s background and his time with the state government </li><li>His last year as an appointed official during the pandemic </li><li>What led Ken to start Gaze and the idea behind the product </li><li>Cannabis impairment testing </li><li>Challenges with cannabis testing </li><li>Ken’s solution, the VR Headset and machine learning</li><li>Ken’s early vision </li><li>Use cases beyond law enforcement </li><li>Questions around the cannabis testing in companies </li><li>From the consumer’s perspective </li><li>Legalization politics and what’s next </li><li>The future of Gaize </li><li>An inside look into clinical research </li></ul>Resources:Website: <a href="https://www.gaize.ai/" rel="nofollow" target="_blank">https://www.gaize.ai/</a>Ken’s email: <a href="mailto:ken@gaize.ai">ken@gaize.ai</a>