World-Class Leadership Aided by Senior Advisors ?Zfiiw?r?s??ef? SENIOR MANAGEMENT Joel Zamel Co-founder and CEO Leads strategic growth initiatives - Education, Bachelor of Mining Engineering from the University of New South Wales; Masters in Government. Diplomacy and Strategy from the InterdiSCiplinary Center. Herzliya Elad Schaffer Co-founder and COO - Oversees daily operations, legal and finanCiaI dealings and strategic partnerships . Prior Counter terrorism officer for Israeli intelligence agency; Vice PreSident at CeifiT Consulting Daniel Green Co-founder and C10 . Oversees technological and activities - Prior: Completed technological engagements for Macquarie Bank. Opera Australia. and UniverSity of Sydney Union Dr. Shay Hershkovitz CSO, Director of Analytic Community Oversees company methodological development client proiect execution and overall growth of Wikistrat's SME network - Prior Major in elite Israeli intelligence ariaIySis unit: Adiunct Professor at Bar Han and Tel Aviv UniverSities John Johns EVP, Business Development and Sales - Oversees Wikistrat's global busmess development and sales efforts - Prior? Executive director of busrness development at CACI International; track record in selling over $2.5 billion in products and serVices to US Government Davld R. Shedd Senior Advisor - Former Acting Director, Defense Intelligence Agency General (Ret.) Michael V. Hayden Senior Advisor - Former Director. National Secur-ty Agency (NSA) and Central Intelligence Agency (CIA) General (Ret.) James l. Jones Senior Advisor - Former US. National Security Adwsor and Commandant of the US Marine Corps Steven Cambone Senior Advisor - Former Undersecretary of Defense Intelligence (USDI) Department of Defense Elliott Abrams Senior Advisor - Former Deputy National Security Adwsor to PreSIdent George W, Bush HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Copyright 2016 Wikistrat. Ltd. 16 1 Sec?onll Technology Disrupting Consulting Market (C CLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE (C) Copyright 2016 Wikistrat. Ltd. 17 . Crowdsourcing Effect on Traditional Consulting To answer the most complicated innovation, research, and national policy questions, crowds are starting to become the partner of choice I Crowdsourcing in its most basic form is the practice of enlisting pom-ll?: via the intazrnr-t to pent-?m Mai or generate ideas and it allows organizations to connect with experts in a rapid, cost-effective way I Throughout history, crowds have been invited to tackle tough literary, scientific, and technological problems the exponential growth of internet users has provided society with the ability to utilize crowds in ways never before possible I More and more the public and private sector are eschewing traditional innovation processes in favor of enterprise-scale crowdsourcing platforms that have much greater, broade reach and can execute taster and mom cost effectively The war for talent. increasing complexity and global nature? of and rapidly advanz?ing ter?hnclogy all contribute to the phenomenal emerging opportunity for crowdsourced consultancies in today?s marketplace I Gartner has predicted that 75% of high-performing enterprises will be using crowdsourcing in some form by 2018 ADVANTAGES OF CROWDSOURCING OVER TRADITIONAL CONSULTING Transparency i Collaboration Resources 8- Scale Speed I has i forced down the costs of I I experimentation while I I simultaneously Improving the quality of I Firms can access large Firms complete projects Clients can view progress I output. I numbers of highly quali?ed rapidly due to large and offer input throughout I I consultants anywhere in the consultant pools that projects, ensuring critical I Deloltte, 2016 world generate diverse ideas issues are addressed I Sources: Deloitte, Gartner, HBS, LexisNexis, Fung Global Retail and Technology CCLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL - DO NOT DISTRIBUTE Copyright 2016 Wikistrat, Ltd. 18 Large Potential for Crowdsourcing Technology 0 mumm? Given the diversity of applications regarding Wikistrat?s technology and its existing customer base, the total potential addressable market is large and growing rapidly The primary industries that benefit from Wikistrat?s solutions are global strategy consultancies, U.S. and foreign governments, expert networks, and market research entities Many of the world?s largest consultancies have publicly disclosed that their vision of the future of consulting revolves around crowdsourcing platforms that will more quickly deliver deeper insights Although Wikistrat?s largest clients today are foreign governments, it is very difficult to quantify the total consulting spend by all foreign governments - suf?ce it to say, there is another multi-billion dollar industry that has already begun to take advantage of Wikistrat?s solution, but is not accounted for in the chart below DISRUPTING THE STATUS Quo According to research firm eYeka, the ?Best Global Brands?1 increased their use of crowdsourcing by 30% from 2014 to 2015. 2016 TOTAL ADDRESSABLE MARKET2 in Billions) Total Addressable Market of ~$150 billion ?The crowdsourcing ecosystem is relatively young, but as new platforms and use-cases emerge, the potential for disruptive impact on the enterprise is significant? Deloitte, 2016 I Global Strategy Consulting I US Government Consulting I Market Research I Expert Networks Sources: Deloitte, eYeka, and 1. The list of ?Best Global Brands" is published annually by lnterbrand. 2. This chart does not include the potential spending by governments outside of the U. S. on consulting services, a large and already tapped market by Wikistrat. 5C CLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Copyright 2016 Wikistrat. Ltd. 19 Competitive Landscape While Wikistrat faces indirect competition from traditional sources, the ?rm?s unique combination of crowdsourcing services, proprietary technology, and advanced analytics gives it an edge in the marketplace Many per Engagement Big Data Crowdsourcing WW Expert Networks GLG IOEQS - accenture ?1 AlphaSIghts Research <1 is 3.6.1593. ?an: DeIOItte Gartner j. 1m (5008):? 2 i {w BoozlAlleanamilton EY Board Bloomberg ?-533 Company BUG :vrln CLEARSIGHT Few per Engagement HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Consulting 16) Copyright 2016 Wikistrat. Ltd. 20 a 36 .umucnwamuu Sec?onl" Data Analytics Platform Solution Offerings CCLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Copyright 2016 Wikistrat. Ltd. 21 if . Unique Platform Driving Differentiated Solutions Wikistrat has developed a truly unique, disruptive data analytics platform that provides a comprehensive solution unlike any offered by ?competitors? in the marketplace today PRIMARY COMPONENTS OF THE TECHNOLOGY PLATFORM Crowdsourcing Anticipatory Threat Platform Analysis Growth Opportunity - ?Big Knowledge? Wikistrat Gamification Engine Technology (CCLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Copyright 2016 Wikistrat, Ltd. 22 Tech Overview: Three Foundational Capabilities ll if?WtK?-?vwa? USER DASHBOARD 1 a 2 The platform allows The Wikistrat to connect .9 mm .. Methodology geographically 9mm ., to structure and dispersed anaIYStS faCi'itate 'arge, into a structured virtual, group- environment to based analytic perform collaborative . . . .. undertakings analysis in real time if: 5'34 . - I'm" A growing network of global talent that allows 3 . Wikistrat to create interdisciplinary teams to provide insights and solutions for clients CLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Copyright 2016 Wikistrat. Ltd. 23 Composition of Data Analytics Platform W??g THE PLATFORM Advanced system for mobilizing and incentivizing users? activity through the use of game mechanics GAMIFICATION SYSTEM Customized technology platform for implementing Wikistrat's scenario- driven crowdsourced exercises CUSTOMIZED CROWDSOURCING PLATFORM MANAGEMENT Platform for management of users SYSTEM and - facilitates the exchange of information PLATFORM FEATURES GAMIFICATION SYSTEM CUSTOM CROWDSOURCING PLATFORM I Scientifically academically tested, Multiple contributions incentives-based engine Real-time collaboration Reactively and proactively Extraction of data from multiple harnesses users to maximize sources contributions MANAGEMENT SYSTEM Analyst registration and vetting Creation of users Tracking user activity Auto-creation and auto-editing Allows users to accumulate points Rewarding users and earn markers of achievement for contributions, facilitating a fun Embedding 0f external material Generating reports for user and competitive environment Live chat functions COHtrIbutlon Images. videos, and audio CLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL - DO NOT DISTRIBUTE ?5 Copyright 2016 Wikistrat. Ltd. 24 Collaborative Competition and Gamification Collaborative Competition and Gami?cation is based on established principles, and is used to reward desired behaviors and monitor analyst progress within the SME network GAMIFICATIONZ The app/[cation of typica/ e/ements of game-p/ay/ng scoring points. competition with others. rules of play) to other activities. typical/y as an on/I'ne marketing technique to encourage engagement with a product or service. Illustrative Effect of Gamification Engine on SME Environment Analyst Engagement Sophistication of Gamification Engine I ncentivizes the SMEs to Forces SMEs to defend Attracts and identifies generate more content their ideas to maintain talent within the highly without paying more their rank intellectual community (g CLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE 9 Copyright 2016 Wikistrat. Ltd. 25 ATA is Wikistrat?s Flagship Technology Solution ANTICIPATORY THREAT ANALYSISI Capability that combines qualitative crowdsourced analysis with quantitative datamining to provide a real?time system for monitoring and anticipating social unrest and destabilization potential in countries around the world. FOUR PRIMARY COMPONENTS: IN-HOUSE STAFF Responsible for customizing the solution to meet each client's needs. Divided into four function groups: research. collection, data analysis, and algorithm development. (C CLEARSIGHT 2 COMPREHENSIVE COLLECTION PLAN AND BIG DATA ANALYTICS Real-time, collected information through Wikistrat?s Ingest Engine based on specific requests andfeedback received from each client. ANALYTIC CROWD Wikistrat?s group of SMEs plays an important role in the modeling process. The diverse crowd, through interpretation and assessment, adds integrity and credibility to the existing model as well as constant improvement. HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE SIMULATIONS Wikistrat runs simulations in order to gain insight into strategic dynamics, including the possible sequencing of key events, their consequences,and the logical policy options for a variety of actors that are facing both. Copyright 2016 Wikistrat. Ltd. 26 Leveraging the Vast Network: ATA Wikistrat?s technology allows organizations to receive quantitative and qualitative information in real-time across hundreds of critical, personalized indicators through a secure technology dashboard The secure dashboard combines the qualitative of Wikistrat?s simulations with the quantitative power of proprietary analytics via a subscription model I ,1 ., ;t 24.x QUANTITATIVE ., a .. QUALITATIVE PUSH IAI IONS) RISK INDICATORS - . PRIVATE CONSULTATION WITH TOP EXPERTS TEAM OF (1 LEAD ANALYST, 4 DATA MODELS EARLY WARNING PERIODIC REPORTING INSIGHTS . SOCIAL MEDIA ICY MONITORING 0L OPTIONS M53 Corporate Intelligence . RegulatoryAdaptation . EntrepreneurialDevelopment COMMERCIAL - Investment Due Diligence . Market Research - Product-Lifecycle Management APPLICATIONS: - C-Suite Economic Planning 0 Strategic Consulting . Innovation Consulting HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Copyright 2016 Wikistrat. Ltd. 27 Crowdsourced Simulation Solutions: Wargaming ?wem?f Wargaming involves assembling groups of into designated teams tasked with roleplaying a particular actor and responding to the moves of the others in a dynamic simulation of situations OVERVIEW WIKISTRAT DIFFERENTIATORS - Timeline: 6-9 weeks - Compared to traditional, private-sector consultancies, - Number of SMES Deployed: Dozens to hundreds Wikistrat?s worldwide roster is able to produce an - Quality Control: A Control Team oversees the unbiased result due to a lack of inherent national, progress of and decision-making within the wargame, regional, cultural, and/or bureaucratic biases ensuring the highest quality of analysis and - Wikistrat?s global network of experts, and the ability for coordination clients to remain anonymous, means that: - Tailored Framework: The information stream is - SMEs are intimately familiar with the countries and tailored individually to every team in the exercise critical indicators they are chosen to represent and - Final Deliverables: An Executive Summary, a Final understand, respectively Report, and an in-person briefing to the client SMES are not pressured to make decisions solely to appease the client THE Focus AREAS CRITICAL REVIEW AND INTELLIGENCE ANALYSIS TYPICAL WARGAMING TIMELINE Roleplaying Teams Simulate Potential Outcomes STRATEGIC OPERATIONS PLANNING Control Team Develops Framework Scenario Results are Collated into Final Deliverable 2-3 weeks 2-3 weeks 2-3 weeks IQ CLEARSIGHT HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE Al; Copyright 2016 Wikistrat. Ltd. 28 Red Teaming is an analytical methodology of viewing a problem from the perspective of an adversary or competitor, exposing weaknesses and areas for improvement Focus AREAS SUCCESS STORY Planning and Operations: Improving decision Scenario: Tasked with performing a making in planning and operations critical assessment of the US. Navy?s 2025 strategy Critical Review and Analysis: Improving problem solving and analytical capability Outcome: The two-week Red Teaming exercise resulted in a number of Intelligence: Improving understanding of enemies recommendations, 90% of which were rivals competitors and developing adopted. This led to a signi?cant rewrite of of intelligence and operations the original document. WIKISTRAT METHODOLOGY In addition to analyzing the discourse and checking key assumptions, Wlkistrat will employ any of the following: 909 CONTINGENCY ANALYSIS Gaming out various plausible scenarios in order to generate optimal responses under a set of circumstances TEAM AI TEAM A competitive analysis exercise in which two or more teams compete to raise arguments and counter the claims of the other group (or a third party) ADVOCACY Given any argument, an opposing claim is made in order to identify weaknesses in its structure, and to use such information to either improve or abandon the original position HIGHLY CONFIDENTIAL AND SENSITIVE MATERIAL DO NOT DISTRIBUTE I. Copyright 2016 Wikistrat. Ltd. 29