KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3

 
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KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

KREDIT PINTAR – Lending with Intelligence
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Disclaimer

•   This presentation (the "Presentation”) is provided for information purposes only.

•   By reading this Presentation, you will be deemed to have agreed to the terms and restrictions set out below.

•   Without the express prior written consent of Neuroncredit Pte. Ltd. and PT Kredit Pintar Indonesia (collectively, the“ Company”), the
    Presentation and any information contained within it may not be (i) reproduced (in whole or in part), (ii) copied at any time, (iii) used for any
    purpose other than your evaluation of the Company or (iv) provided to any other person, except your employees and advisors with a need
    to know who are advised of the confidentiality of the information.

•   This Presentation does not constitute or form part of, and should not be construed as, an offer, invitation or inducement to purchase or
    subscribe for securities or any investment product nor shall it or any part of it form the basis of, or be relied on in connection with, any
    contract or commitment whatsoever. This Presentation does not constitute either advice or a recommendation regarding any securities or
    any investment product.

•   You should not extend any loans to any borrowers through the use of the Company’s platform if you do not understand the nature of the
    loans, or with the accompanying risks as described in this Presentation. You will be subject to various risks and uncertainties, including the
    potential loss of your entire principal amount loaned in respect of each loan. If you are in doubt as to whether to extend any loan as such,
    please consult your legal, financial, tax or any other professional advisor.

•   The communication of this Presentation is not intended for distribution to, or use by any person in, any jurisdiction where such distribution or
    use would be contrary to local law or regulation.

                                                                                                                                                               2
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Disclaimer

•   No representations or warranties, express or implied are given in, or in respect of, this Presentation. To the fullest extent permitted by law in no
    circumstances will the Company, or any of its respective subsidiaries, shareholders, affiliates, representatives, partners, directors, officers,
    employees, advisers or agents be responsible or liable for any direct, indirect or consequential loss or loss of profit arising from the use of this
    Presentation, its contents, its omissions, reliance on the information contained within it, or on opinions communicated in relation thereto or
    otherwise arising in connection therewith. The information contained in this Presentation has not been independently verified.

•   Recipients of this Presentation are not to construe its contents, or any prior or subsequent communications from or with the Company or its
    representatives as investment, legal or tax advice. In addition, this Presentation does not purport to be all-inclusive or to contain all of the
    information that may be required to make a full analysis of the Company, the platform or the loans. Recipients of this Presentation should
    each make their own evaluation and of the relevance and adequacy of the information and should make such other investigations as they
    deem necessary.

•   This Presentation contains illustrative returns, projections, estimates and beliefs and similar information (“Forward Looking Information”).
    Forward Looking Information is subject to inherent uncertainties and qualifications and is based on numerous assumptions, in each case
    whether or not identified in the Presentation. Forward Looking Information is provided for illustrative purposes only and is not intended to
    serve as, and must not be relied on by any investor as, a guarantee, an assurance, a prediction or a definitive statement of fact or
    probability. Nothing in this Presentation should be construed as a profit forecast. Actual events and circumstances are difficult or impossible
    to predict and will differ from assumptions. Many actual events and circumstances are beyond the control of the Company. Some
    important factors that could cause actual results to differ materially from those in any Forward Looking Information could include changes in
    domestic and foreign business, market, financial, political and legal conditions. There can be no assurance that any particular Forward
    Looking Information will be realized, and the performance of the Company may be materially and adversely different from the Forward
    Looking Information. The Forward Looking Information speaks only as of the date of this Presentation. The Company expressly disclaims any
    obligation or undertaking to release any updates or revisions to any Forward Looking Information to reflect any change in the Company’s
    expectations with regard thereto or any changes in events, conditions or circumstances on which any Forward Looking Information is based.
    Accordingly, reliance should not be placed upon the Forward Looking Information.

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KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Kredit Pintar: Top Consumer Lending App in South East Asia
# 1 ranked consumer lending app
in Indonesia Google Play Store                                     Downloaded more than 4 million times

                                                                   Sample Loan Categories

                                                                    Net disbursement   Total repayment                      Total repayment        Net disbursement
                                                                                                         Net disbursement                                             Total repayment
                                                                    Rp 540,000         Rp 666,000        Rp 1,080,000       Rp 1,332,000           Rp 1,056,000       Rp 1,392,000
                                                                    Tenor                                                                          Tenor
                                                                                                         Tenor
                                                                    14 days                                                                        28 days
                                                                                                         14 days

                                                                                                                                                                                        4
(Sources: www.similarweb.com – Website Traffic Statistics & Market Intelligence)
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

South East Asia Presents a Huge Opportunity for Consumer Lending

•    Large population with low consumer credit penetration rate compared to the U.S. and China.
•    Fastest growing internet market in the world.
•    Market at a key inflection point where borrowers are looking to do their consumer borrowings online via mobile internet.

                                                        U.S.A               China     SE Asia                      India

    Total Population (million)                          322                 1,386     636                          1,339

    Consumer Credit Penetration Rate *                  198%                42%       6% (excluding SG)            2%

    GDP Growth Rate                                     2.3%                6.9%      5.2%                         6.6%

    Internet Users (million) &                          280                 802       370                          500
    5-year CAGR                                         1%                  4%        14%                          28%

    Mobile Internet Users (million) &                   241                 753       330                          456
    Penetration Rate                                    75.1%               54%       52%                          34%

    National R&D Expenditure                            US$495B             US$214B   US$15B                       US$24B

    * Credit Penetration Rate = Number of Credit Cards / Total Population
                                                                                                                                                     5
    (Sources: World Bank, PwC, OECD, TechinAsia, McKinsey)
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Our Business

                                                          6
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Kredit Pintar: Lending with Intelligence

                         Short-term Micro loans                              Capital

 High Quality
                             Repay Loans                               Principal + Interest                         Lender
  Borrowers

      Credit Scoring Technology          Proprietary Algorithm & AI   Big Data Risk Control                Fraud Detection
                                         Capabilities

                                                                                                                                         7
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2016-2018 | CONFIDENTIAL

Technology as an Enabler to Economically Tap Into the Underserved
Consumers
Google Play            App                  Website

                                                                                                 8
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Business Positioning

                                                                                                                            Loan Amount
                                                                                 Credit Card
                                                                                  Mortgage                                  Loan Tenor
                                                                                   Banks

                                                                                                                            Interest Rate

                                                                           Car / Motorcycle Loans
                                                                                                                            Dependency on big data
                                                                             White good Loans

    •   Customers with steady income but underbanked by                          Cash Loans
                                                                       Banks, Multi-finance Companies                       Profitability
        traditional FI’s

    •   Young people with little savings - college students,
        graduates                                                   Payday Loan, Short-Term Cash Loan,
                                                               Merchandize Credit, Long-Term Cash Installments
                                                                   Multi-finance Companies, Fintech Players

                                                                 Retail Credit Loan Customer Segmentation

                                                                                                                                                         9
KREDIT PINTAR - Lending with Intelligence - KREDIT PINTAR 2018-2019 | CONFIDENTIAL - Amazon S3
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Early Registration with OJK as P2P Lender

     Kredit Pintar became registered in April 2018

     Kredit Pintar became one of the first fully OJK registered
     and monitored P2P lenders in Indonesia, joining a small
     group of registered entities by May 2018. We are already
     fully compliant under our current registration status.

                                                                                                             10
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Founded in Sep 2017 with 600+ employees so far

                                                                                            11
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

 Growth Profile
 # of Cumulative Loans Disbursed                                                                                                                                                       Loan Cumulative Disbursement (USD’000)
5,000,000
                                                                                                                                                                                       350,000
4,500,000

4,000,000                                                                                                                                                                              300,000

3,500,000
                                                                                                                                                                                       250,000

3,000,000
                                                                                                                                                                                       200,000
2,500,000

2,000,000                                                                                                                                                                              150,000

1,500,000
                                                                                                                                                                                       100,000
1,000,000
                                                                                                                                                                                        50,000
 500,000

       0                                                                                                                                                                                     -
                                                                                                      Jul-18
            Sep-17

                              Nov-17
                                       Dec-17

                                                                                                               Aug-18
                                                                                                                        Sep-18

                                                                                                                                          Nov-18
                                                                                                                                                   Dec-18
                                                                                    May-18
                                                Jan-18

                                                                                             Jun-18

                                                                                                                                                            Jan-19
                                                         Feb-18
                                                                  Mar-18

                                                                                                                                                                     Feb-19
                                                                                                                                                                              Mar-19
                     Oct-17

                                                                           Apr-18

                                                                                                                                 Oct-18

                                                                                                                                                                                            Au 8
                                                                                                                                                                                            Fe 8

                                                                                                                                                                                                  18

                                                                                                                                                                                            Fe 9
                                                                                                                                                                                            M 8

                                                                                                                                                                                            M 9
                                                                                                                                                                                            O 7

                                                                                                                                                                                            D 7

                                                                                                                                                                                            Ja 7

                                                                                                                                                                                            Se 8

                                                                                                                                                                                            O 8
                                                                                                                                                                                            Ju 8

                                                                                                                                                                                            D 8

                                                                                                                                                                                            Ja 8
                                                                                                                                                                                            N 7

                                                                                                                                                                                            M 8

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                                                                                                                                                                                            Ap 8

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Note As of 31 Mar 2019; USD to IDR exchange rate used in this file is 14,222.4, which is the average exchange rate in last 90 days;
     Charts above include loans disbursed in Shopintar.                                                                                                                                                                                                  12
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Indonesian Market Secured - Future Geographic and Product Roadmap

                    Product

    Virtual Credit Card (VCC)
                                                                                                       Product &
                                                                                                       Geography

     Ecommerce Installments
                                        Current                                                        Diversification

                 Cash loans

                                    Indonesia & Philippines & China   Vietnam & India   Global      Geography

                                •    Indonesia Registered as a P2P platform under the Indonesian OJK
                   License      •    Philippines Licensed as a Financing Company under Philippines SEC
                                •    China Licensed as a National Internet Micro-loan Company under CRBC and Finance
                                     Bureau                                                                                             13
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Borrowing Process and Risk Management

                                                                                   14
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

    App Borrowing Process

Download Kredit Pintar App   Choose the best loan that      Apply for a loan by         Take a photo of your KTP       Fill in your personal particulars
     on Google Play              fits your needs         inputting your KTP details   and a selfie holding your KTP

                                                                                                                                                        15
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

 Loan applications will be    Loan approved and funds are   After loan disbursement, track    Fully repay loan before end of
assessed within 60 minutes.       sent to your account      your current loan status on the    loan tenor to avoid incurring
                                                                          app                   overdue payment charges.

                                                                                                                                          16
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Credit Risk Management with AI and Big Data

                                       Face        Liveness
   KYC         OCR          ID       Comparison   Detection
                          Check

   Anti       Blacklist
                           Face
  Fraud                   Search

                                                                    Rule
                                                  Device           Engine
                                                   SDK            Platform

   Credit     Credit        Multi
 Assessment                          Tele Score
              Score       Platform

                                                                                                         17
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

New Generation Anti-Fraud and Credit Scoring Solution

                                                           Internet
                           Education
                                                                        Social Network

        Credit history
                                                                               Consumption

                                  Traditional             Alternative
   Personal Data                                                                         Telco
                                       Data                  Data

                                                                               Location

         Financial Asset
                                                                        Browsing

                                                         E-Commerce

                     Credit Frauds | Promo Abuse | Payment Fraud | Account Abuse
                                                                                                                           18
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Our e-KYC Solution Addresses the Identification and Fraud Issues for
Countries with Poor Identity System and Data Infrastructure

OCR FOR KTP                                 Liveness Detection   Face Comparison

                                                                                   VS
 Scan the KTP         Recognition Success          Action          KTP Face             Liveness Face
                                                   Video
                                                                                                                          Result

                                                                                                                            Pass / Reject

                API

                                            ID Check             Face Search

                                                     Real          Liveness Face        Face DB
                                                   Identity

                                                                                                                                              19
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

OCR (Optical Character Recognition)

                                             Name         HExxxxxAN                Blood type          O

                                             NIK          327xxxxxxxxxx001         Gender              PEREMPUAN

                                             Religion     ISLAM                    Expiry date         SEUMUR HIDUP

                                             Address      JAKARTA, xx-xx-xxxx      Village             KERONCONG

             Accurate                        FAST                               Better Customer
       Optimized for KTP, 99%+ on   3 minutes Application Time                    Experience
              NIK number                      Saving

                                                                                                                                            20
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Liveness Detection
                                                            Core
                                                         Technology
  1. Detect face
                         Please turn head to the
                                   right
  2. Face landmarks
                                                       Movement Analysis

  3. Head movement

  4. Eye blinks                                       Optical Flow Analysis

 5. Mouth movement

  6. Verify and result                              Frequency and Texture
                                                        Based Analysis

                                                                                              21
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

About Us

                                                      22
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

Management Team

    Darjoto Setiawan
    President Commissioner                                                                         David Chen
                                                                                                   President
    •       Bandung Institute of Technology,        •       Rajawali Group, Managing Director
            B.S. in Math                            •       Bentoel Group, President               •   University of Washington,            •   Nanyang Technological University,
    •       Prasetya Mulya Institute, M.S. in               Commissioner                               Ph.D. in Computer Science                Tenured Associate Professor
            Management                              •       PT Fortune Indonesia, Commissioner                                              •   Nestia Pte Ltd, Founder & CEO

        Wisely Wijaya                                                                              Chun Dong Chau
        Chief Executive Officer                                                                    Chief Data Scientist

        •    Beihang University, B. Eng in      •   Bumi Nirwana City, President                   •   Leiden University, Ph.D in Math           •   Crystal Horse Investments, Partner
             Material Science                       Commissioner                                       and Natural Science                       •   Capital-Match, Director
                                                                                                   •   University of Technology                  •   Depeach, Director
                                                                                                       Eindhoven, M.S. Ir

    Matt Zou                                                                                       Boan Sianipar
    Chief Risk Officer                                                                             VP of Business Development
    •       Southwestern University of Finance          •   Huixiang Financial Services Ltd, VP    •   University of Wisconsin, B.B.A   •       Altria Group, Manager
            and Economics, B.S.                         •   Model Central Analytics team, ANZ,         in Finance and Marketing         •       Xendit, VP of Business Development
                                                            Manager                                •   Creighton University M.B.A.
                                                        •   Bank of Communications, Risk Analyst   •   Creighton University M.S.

                                                                                                                                                                                     23
KREDIT PINTAR © 2016-2018 | CONFIDENTIAL

    Strong Team Background & Top Investment Institutions
    •   A multinational financial technology company with diverse talents and top technology, covering China, Singapore, Indonesia
        the Philippines, Vietnam, and India.

    •   Investment from well-known institutions.

                            Team Background                                                              Investors

Top Internet / Tech Firms                                                         Top Asian VC Funds

Top IB / Consulting Firms

                                                                                  Top China Angel Fund
Top HF / PE Funds

Top Fintech Platforms                                                             Top PE in SE Asia

                               Deep Domain Expertise | Speed for Execution | Commitment to Localization
                                                                                                                                                  24
KREDIT PINTAR © 2018-2019 | CONFIDENTIAL

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