Heroz, Inc. · TSE:4382
Heroz — Q1 FY04/2020 Earnings Presentation
25 slides from Heroz's earnings presentation, Sep 10, 2019
Slide 1: Presentation Material for FY04/2020 Q1 Financial Results
Notice This document is an excerpt translation of the original Japanese document and is only for reference purposes. In the event of any discrepancy between this translated document and the original Japanese document, the latter shall prevail. Presentation Material for FY04/2020 Q1 Financial Results
Slide 2: 1. Business Overview
1. Business Overview 2. FY04/2020 Q1 Performance 3. Growth Strategy 4. Reference Materials
Slide 3: Company Overview
Company Overview 2018 Name HEROZ, Inc. Listed on Tokyo Stock Exchange (TSE) Mothers Capital and business alliance with Netmarble Games Corporation Location PMO Tamachi 2F, 5-31-17 Shiba, Minato-ku, Tokyo 2017 Capital and business alliances with Takenaka Corporation and Koei Established April 2009 Te
Slide 4: Our Vision
Our Vision Creating the future through artificial intelligence (AI) revolutions 4
Slide 5: Global Leader in Mind Game AI
Global Leader in Mind Game AI Chess AI Shogi AI Go AI Deep Blue (’97) AI developed by our Google acquired Deep Mind defeated a engineers defeated a (’14) professional Chess professional Shogi AlphaGo, developed by player (Japanese Chess) Deep Mind, defeated a player (’13) professional Go player (’16
Slide 6: B-to-B Services: Machine Learning by Replacing Shogi Game Records with Other Data
B-to-B Services: Machine Learning by Replacing Shogi Game Records with Other Data Structural design data, Shogi game records financial data, etc. HEROZ Kishin Deep learning and other machine learning: MLaaS (Machine Learning as a Service) Shogi AI Construction AI, Finance AI, etc. MLaaS： What is Mac
Slide 7: B-to-B Services: Profit Model and High Switching Costs
B-to-B Services: Profit Model and High Switching Costs Research/develop Shogi AI Standardize AI technology accumulated through shogi AI Establish “HEROZ Kishin”=MLaaS （Machine Learning as a Service） Establish an infrastructure which allows HEROZ to provide AI services efficiently Output after machin
Slide 8: B-to-B Services: Engines included in HEROZ Kishin and Examples of Applications
B-to-B Services: Engines included in HEROZ Kishin and Examples of Applications Create AI products by combining engines and achieve an efficient operating structure Know-how on AI-related technology development and and R&D capabilities service operations (deep learning, etc.) (massive servers, etc.
Slide 9: B-to-B Services: Areas of Focus and Examples of Services Provided
B-to-B Services: Areas of Focus and Examples of Services Provided Focusing on construction, finance, and entertainment for the foreseeable future Earning structure is initial setup fee and ongoing fees *Examples of clients served Construc Fi- Enter- -tion nance tainment Creation of high-quality
Slide 10: B-to-C Services: Fees from Application Users
B-to-C Services: Fees from Application Users Charging fees for B-to-C content which user AI Leveraging AI-related technology to provide mind games such as shogi, chess, and backgammon worldwide Shogi Wars has remained cash cow backed by organic increase of paid users To shift our engineering c
Slide 11: 2. FY04/2020 Q1 Performance
1. Business Overview 2. FY04/2020 Q1 Performance 3. Growth Strategy 4. Reference Materials
Slide 12: Our Key Performance Indicator
Our Key Performance Indicator We believe that EBITDA, as calculated below, is our key performance indicator EBITDA = Operating Profit + Depreciation/Amortization Expenses In AI-related businesses, server investments, etc. are required to engage in advanced machine learning, leading to various de
Slide 13: Performance Overview (May-July 2019)
Performance Overview (May-July 2019) We proceeded as planned to achieve fiscal year forecasts in the first quarter, driven by an increase in new and ongoing AI (B-to-B) projects and steady performance of Shogi Wars in AI (B-to-C) services We expect to complete more initial-setup projects for AI
Slide 14: Net sales and EBITDA Trends
Net sales and EBITDA Trends We forecast that revenues from AI (B-to-B) services, which is the core pillar of our growth strategy, will grow faster than the industrial average, CAGR 43% calculated in page 22, and exceed revenues of AI (B-to-C) services in FY04/2020 We expect revenues from AI (B-t
Slide 15: Service Overview and Marginal Profit
Service Overview and Marginal Profit Characteristics of AI (B-to-B) and AI (B-to-C) services are summarized below Service AI（B-to-B) Services AI（B-to-C） Services B-to-B machine learning service Summary Shogi Wars, etc. HEROZ Kishin Structural Design data, financial data, Input Data Shogi game reco
Slide 16: Balance Sheet (as of July 31, 2019)
Balance Sheet (as of July 31, 2019) We have continued to invest cash and deposits in efforts to achieve the medium-to-long- term growth strategy (computing servers, R&D, etc.) (Reference) Units: JPY millions As of 7/31/2019 As of 4/30/2019 Current Assets 1,729 1,659 Cash and deposits 1,550 1,494 F
Slide 17: 3. Growth Strategy
1. Business Overview 2. FY04/2020 Q1 Performance 3. Growth Strategy 4. Reference Materials
Slide 18: Medium-to-long term Growth Strategy
Medium-to-long term Growth Strategy We aim to achieve EBITDA growth by investing our cash flows and leveraging our know-how from our AI (B-to-C) services to our AI (B-to-B) services, which ・EBITDA are positioned as our key medium-to-long-term pillar of growth In our AI (B-to-B) services, we aim
Slide 19: Initiatives in Construction AI
Initiatives in Construction AI Developed the space regulation system Archiphilia Engine jointly with Takenaka Corporation (“Takenaka”) using HEROZ Kishin AI in the EQ House Project, in which Takenaka engaged in design and construction Achieved conservation of energy and manpower Using reinforced
Slide 20: Initiatives in Finance AI
Initiatives in Finance AI Launched “AI Stock Price Watch Service”, developed jointly with SMBC Nikko Securities Inc., to serve individual customers AI provides stock trend forecasts Machine learning methodologies utilizing data on stock prices and market conditions are used to make 1-week foreca
Slide 21: 4. Reference Materials
1. Business Overview 2. FY04/2020 Q1 Performance 3. Growth Strategy 4. Reference Materials
Slide 22: Global Market Forecasts: AI Software (B-to-B)
Global Market Forecasts: AI Software (B-to-B) AI demand is accelerating globally in each industry, leading us to believe that our AI (B-to-B) service carries strong growth potential AI software market in Japan is also required to grow so rapidly due to the decrease of the domestic working popula
Slide 23: Japan: Potential AI Demand is Among the Largest Worldwide
Japan: Potential AI Demand is Among the Largest Worldwide Potential AI demand in Japan can be expected to be among the largest worldwide, as the working population is expected to decrease significantly going forward Projection of Population Age 15-64 (Median Prediction Interval, 2015=100) 140 Wh
Slide 24: Potential AI Demand in Our Areas of Focus
Potential AI Demand in Our Areas of Focus We believe there is also significant potential demand for enhancing operational efficiency through AI in the construction industry, which is one of our areas of focus There will be a shortage of 110,000 construction technicians by 2025 (source: Human Tou
Slide 25: Disclaimer
Disclaimer The contents set out in this material are prepared based on generally acknowledged economic, social and other conditions, and on certain assumptions deemed rational by HEROZ, Inc. and may therefore be subject to change without prior notice due to changes in the managerial environment or f