Grand stage, Singapore Expo Convention Centre, Halls 1-3
BUILDING IMPACTFUL, CONTEXTUALISED AND MARKET-READY FINTECH SOLUTIONS FOR THE FINANCIAL INDUSTRY
The Global FinTech Hackcelerator is looking for the most innovative start-ups from across the globe who can address problem statements contributed by the global FinTech community and the financial services industry. We are inviting start-ups to apply to the programme and demonstrate how they can innovate to address these problem statements. We will select up to 20 teams and match them with industry champions to customise their market-ready solutions into contextualised prototypes ready for adoption.
Global FinTech Hackcelerator is powered by:
INTRODUCING THE TEAMS
A big thank you to our judges for shortlisting the 20 finalists
How It Works
Submit your application before 25 July 2017. Shortlisted applicants may be contacted for further information, demos and pre-selection pitching sessions, after which up to 20 teams will be selected. Apply Here
12 WEEK (VIRTUAL) PROGRAMME
Starting 28 th August 2017, the 20 successful start-ups will spend 12 weeks contextualising and enhancing their prototype/solution, with mentoring and guidance from industry champions and real FS business sponsors.
DEMO DAY (16 NOVEMBER 2017)
At the end of the 12 weeks, start-ups will demo their solution on the main stage of the FinTech Conference at the Singapore FinTech Festival. The top 3 start-ups will receive additional cash prize of S$50,000 each.
Teams will work with industry champions to plan for actual adoption and integration of their solutions into a real client context.
Congratulations to the Top 5 Student Teams!
You have won yourselves S$3,000 and an opportunity to present your idea in front of the global fintech community
PolyGen is a team of 7 students from Republic Polytechnic pursuing a Diploma in Business Applications. They have developed a prototype for their solution CocoHub, which enables payments through mobile phones with or without internet connection. Their solution leverages on PayNow, hence the merchant does not need to incur any credit card surcharge for this cashless solution.
Ardiente comprises students in their penultimate year in Singapore Management University and National University of Singapore, majoring in data science, economics and analytics. They have developed hybrid deep learning and machine learning algorithms to detect fraudulent transactions. The team is looking for industry partners to test out their algorithms.
LMB consists of 4 second-year Business Applications students from Republic Polytechnic. They have proposed a banking mobile app catering to the visually handicapped. The app comes with features such as a digital Braille keyboard, voice guidance systems (in 4 different national languages), thumbprint and PIN number for 2FA, and directional guidance to nearest ATM or bank branch.
FinnovAI is a 2-man team from IIT Madras. They have developed and tested preliminary theories to predict market behaviour using machine learning techniques and deep learning models. Their plan is to create an intuitive and user-friendly website which will learn the user’s investment history and make recommendations about the user’s future financial strategy.
VANSJH is a group of classmates from Republic Polytechnic. They hope to improve the convenience of mobile banking for the visually impaired through their solution called OBVI, which can be integrated into an existing bank’s mobile app. OBVI can dim the phone screen at the start of the application for privacy purposes; it also comes with an Interactive Voice Response to guide the user to navigate the services within the app.