Jeff is a chatbot that helps finding most suitable financial products for retail customers, while delivering qualified, data-rich leads to banks, lenders and insurance companies.
Thanks to its human-alike, personalized approach and ability to respond instantly, Jeff provides best-in-class customer experience, while also ensuring transparency and simplicity for the user.
But, most importantly, Jeff gives access to credit for a large portion of unbanked population via tapping into the power of alternative data. Jeff boosts financial inclusion by utilizing alternative data instead of banking info for those who do not have it.
Through gamification elements, users are encouraged to connect their accounts of various sorts (bank data, TelCo, Social media, eCommerce etc.); in turn obtaining better deals and exclusive offers.
In the meantime, Jeff puts the gathered information to good use, supplying banks, lenders and insurance firms with highly qualified, data-rich leads.
The core focus l...
Jeff is a chatbot that helps finding most suitable financial products for retail customers, while delivering qualified, data-rich leads to banks, lenders and insurance companies.
Thanks to its human-alike, personalized approach and ability to respond instantly, Jeff provides best-in-class customer experience, while also ensuring transparency and simplicity for the user.
But, most importantly, Jeff gives access to credit for a large portion of unbanked population via tapping into the power of alternative data. Jeff boosts financial inclusion by utilizing alternative data instead of banking info for those who do not have it.
Through gamification elements, users are encouraged to connect their accounts of various sorts (bank data, TelCo, Social media, eCommerce etc.); in turn obtaining better deals and exclusive offers.
In the meantime, Jeff puts the gathered information to good use, supplying banks, lenders and insurance firms with highly qualified, data-rich leads.
The core focus lies in emerging markets, where credit bureaus' coverage is poor and cover only a fraction of adult population.
At first, the services will include banks, non-bank lenders, mortgage lenders and leasing companies, thereinafter expanding the offering across other product lines.
Over time, a bespoke score will be added to every single lead, based on all the various data points gathered over time.
Through retention tools, trigger & hook approach, push notifications and gamification, users will be persuaded to recurrently provide data of their performance (e.g., loan repayments). This, in turn, will allow building credit bureaus, which are scarce in emerging markets like Vietnam, Phillipines, India etc.
The revenue streams are derived from financial service providers for customer affiliation (both traditional & accompanied with bespoke score), and in the future, from credit bureau usage.
More information

Employees

Reinis Tenis
Admin
Reinis Tenis Extensive experience in financial analysis and credit risk assessment within banking and manufacturing sectors.