Business

Announcing the companies participating in TMG’s “FinTech Program: Asia meets Tokyo” accelerator program

The Tokyo Metropolitan Government (TMG) formulated the “Global Financial City: Tokyo” Vision with the aim of making Tokyo an unrivalled global financial center by promoting the nurturing of the FinTech industry.
As part of this initiative, we have launched the Tokyo Metropolitan Accelerator Program “FinTech Program: Asia meets Tokyo” for FinTech startups in Asia, for which we were inviting participants between November 27 and December 14 of last year.
As a result of these efforts, we are pleased to announce that we have received applications from 52 companies from 9 different countries and regions in Asia. From these, we have selected 8 FinTech startups, listed below, to participate in the program, in which they will pitch their business plans, receive mentoring, and take part in other business matching activities.

1. Overview of Business Plan Pitch Event

Format

Streamed online (available on-demand via YouTube)

Date and Time

Available for viewing from Monday, January 18, 2021 at 2:00 PM, until Monday, January 25, 2021 at 11:59 PM.

Target

Investors and companies in Tokyo, and those interested in the program.

How to view

Reservation is required prior to the event.
Please register at the URL below, and the URL of the event hosting site will be emailed later.
https://eventregist.com/e/asiameetstokyo (External link)

Speakers

KOIKE Yuriko, Governor of Tokyo
Mr. MATSUMOTO Oki, Monex Group, Inc. Chairman& CEO
Selected FinTech startups (8 companies)
Ms. YONEOKA Waki, Managing Director Japan at Moneythor

Language

Japanese and English (with subtitles)
(Details are available on the attached document(PDF:538KB))

2. Overview of selected FinTech startups (alphabetical order)

*If you would like a business matching with any of the below companies, please attend the Business Plan Pitch Event.

Company Name Country / Region Primary Service
AIDA Technologies Singapore Digital solutions for insurance operations that utilize artificial intelligence and machine learning, which contributes to improving the profitability of insurance companies by detecting fraudulent claims and overclaims in health insurance, and automating underwriting and agency management.
AIZEN Asia Pacific Singapore A new credit scoring system through a multi-dimensional AI model that utilizes alternative data such as purchase data , which contributes to diversification of financing methods and improvement of credit risk.
Allinfra Ventures Limited Hong Kong Helps to mitigate the risks associated with green investment, using a blockchain-based environmental platform to improve financial positions and ESG scores.
CoverGo Hong Kong Services that realize fast development of new functions and workflow reforms for the digitization of all insurance business including contract management, billing, and new product sales, using a highly flexible insurance platform equipped with more than 500 APIs.
IBSFINtech India Pvt Ltd. India Comprehensive risk management solutions to effectively manage information on FX, finance, and trade finance, and enhance the global operations of group companies.
Intensel Hong Kong Cloud-based SaaS solutions that can analyze climate risks related to client companies' assets using dynamic climate models, satellite data, and high-accuracy financial models.
Nextbillion.ai Singapore Inexpensive, highly flexible custom map solutions utilizing company data that can be used for transportation, logistics, smart city related business, etc.
Tookitaki Singapore AML analysis solutions via a unique machine learning model that automatically selects risk indicators from ever-changing customer behavior and detects suspicious transactions without using personal information or setting specific thresholds.

*Please click here to see mass media releases in multiple languages. (日本語中文한국어)

For Inquiries
Strategic Projects Section, Strategy Promotion Division, Office for Startup and Global Financial City Strategy
E-mail: S1130103@section.metro.tokyo.jp"
 

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