Insurtech company YAS has teamed up with JOIE, a taxi fleet operated by Tai Wo Management in Hong Kong, to develop an AI-powered insurance solution that focuses on real-time analysis of driving behaviour. 

The initial phase of the partnership will see the deployment of approximately 1,000 hybrid and electric taxis, each integrated with YAS’s AI-driven scoring and insurance adjustment system. 

 This platform will assess driving behaviours—including hard braking, sharp turns, and operational timing—on a real-time basis, allowing for dynamic adjustments to risk levels and insurance premiums. 

It will focus on three primary areas of enhancement: vehicle selection, insurance structure, and passenger service experience.  

JOIE plans to introduce hybrid and electric vehicles to improve ride performance and passenger comfort. 

Tai Wo Management (the parent company of JOIE) managing director Aaron Ng Hoi-shan said: ”This partnership with YAS allows us to manage and reward driver performance with data, strengthening professional integrity and delivering a taxi experience that passengers can truly trust.” 

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The YAS TAXY solution will utilise AI and real-time data to evaluate driver performance based on key safety indicators.  

Planned future upgrades include features such as AI-powered language translation, trip protection, and in-vehicle virtual assistants. 

Furthermore, the system will provide fleet managers with real-time dashboards, driver rankings, performance tracking, and reward monitoring tools. 

YAS co-founder William Lee stated: ”We created YAS TAXY with the goal of quantifying and recognising safe driving behaviour—shifting how insurance and fleet operations are fundamentally structured.  

“This collaboration with JOIE is a major step forward in applying smart mobility in real-world settings, where technology moves beyond the backend to make a tangible impact on daily road safety and public trust.” 

In December 2022, YAS and QBE Hong Kong launched the ‘pay-as-you-sell’ concept for local e-commerce merchants.