Styliff have found an innovative way of collecting health data to quantify the growing obesity levels in companies. Obese employees cost 27.4% more in medical claims than regular weight employees and at present the insurance industry is unable to cater for this risk and its associated costs when insuring the health of their corporate clients.

Our data is valuable for the corporate group health and life insurance market allowing insurance carriers to more accurately quantify and price risk. It is also very valuable for self-insured corporates as it significantly improves the accuracy when forecasting future medical claims.

Styliff analyse existing uniform order sheets and are able to correctly classify over 70% of people into obesity classes. We are able to do so due to our machine learning algorithm analysing a combination of the uniform orders, the table of measurements of the garments which it then compares with our database of previous body and garment data. Styliff calculates W...
Styliff have found an innovative way of collecting health data to quantify the growing obesity levels in companies. Obese employees cost 27.4% more in medical claims than regular weight employees and at present the insurance industry is unable to cater for this risk and its associated costs when insuring the health of their corporate clients.

Our data is valuable for the corporate group health and life insurance market allowing insurance carriers to more accurately quantify and price risk. It is also very valuable for self-insured corporates as it significantly improves the accuracy when forecasting future medical claims.

Styliff analyse existing uniform order sheets and are able to correctly classify over 70% of people into obesity classes. We are able to do so due to our machine learning algorithm analysing a combination of the uniform orders, the table of measurements of the garments which it then compares with our database of previous body and garment data. Styliff calculates Waist-to-Height Ratio and BMI metrics to create our Styliff obesity insurance score which is highly predictive of future medical claims. It has 75% of the predictive power of historical medical data, without the need for costly and invasive tests.

All of our data is anonymised and aggregated to be data compliant and is securely stored in TrueVolt. The data is then displayed to the client in the form Styliff Analytics which shows a range of analytics including geographic location and job role.

We are making uniforms the next health risk proxy for the group health insurance market for the largest industries in the world such as retail, manufacturing, hospitality, transportation, commercial services, construction, the list goes on.

500 million employees have to wear uniforms at work each day, that is 20% of the global workforce. This equates to $1.6 trillion worth of health cares costs each year.

Product Demo: demo.cloud.styliff.com/
- Username: styliff2017
- Password: 113

Product Video: vimeo.com/222185661/153aa47081
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ABC Accelerator
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ABC Accelerator Where Market Meets Your Innovation.
ABC Accelerator #1 Smart Cities
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ABC Accelerator #1 Smart Cities The smart city is a vision of the future.

Employees

Aljoša Domijan
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Aljoša Domijan Investing knowledge, time, and money in the automotive, internet media, marketing, and sales start-ups.

Recommendations

In a few years Styliff wiil be quite conventional way of shopping and trying on clothes. Excellent team will surely maintain a competitive advantage.

Paulo Borges
Web Engineer, Styliff

Styliff is the fusion of technology and fashion and that's what made me passionate enough to join this exciting startup. I hope you embrace our concept!
Paulo Borges