PERSONALIZED INSTRUCTION FOR ALL USING ARTIFICIAL INTELLIGENCE SEED STAGE EFTA00797486 TEAM Bryan Talebi CEO I Co-Founder • 15 years of sales leadership experience • Notable companies: Bizzabo, Zocdoc, Sols • Started career at 16 years old working for NASA Sasha Raskin Head of Content & Partnerships I Co-Founder 10 years of experience building careers as a literary agent • Worked at UTA representing international best selling authors Began college at UC Berkley at age 16 in Cognitive Neuroscience Dan Bersak Technology I Part Time 15 year career in technology innovation • Holds 4 Degrees from MIT and Yale • Served as CTO at various companies leading to successful exits Barnaby Bienkowski VP of Engineering I Co-Founder • Over 10 years of Silicon Valley experience • Lead Intel's self driving car unit • Specialty in creating and scaling global software Mikhail Gervits Head of Design I Co-Founder • Over 15 years of digital product and marketing experience • Notable clients: Viacom, Nike, IBM • Holds degree from Rhode Island School of Design Sofia Trexler Business Analyst Nu Micro soft P ji Yale ZZocdoc ®Berkeley t)-9 a a a a a EFTA00797487 PROBLEM 49M US employees need to be retrained Source: Pew Research 800m Jobs Lost Globally To Automation By 2030s Source: PwC 84% Students Withdraw From Online Courses Source: edX Four Year Study EFTA00797488 SOLUTION Top Achievement Rates . t4 90% PERSONALIZED INSTRUCTION VS $1 V v. 20 TRADITIONAL SCHOOLING 90% of students learning through one-on-one instruction attain a level of achievement reached by only the highest 20% of students in conventional classroom conditions. Bloom 1984 EFTA00797489 SOLUTION AHURA has the solution TRENr brick and mortar education to online learning WHY Online learning is scalable and affordable No one has fixed this issue, but Ahura's technology can O PROBLEM The outcomes are poor, completion rates are low EFTA00797490 SOLUTION Al web platform where users access personalized learning tool's Faster Learning Track With customized content Increased Retention of Material With targeted intervention Reduced Costs With Al available at scale EFTA00797491 SOLUTION Personalized Retraining With Artificial Intelligence CAPTURE Student data is collected via microphone, video and wearables inputs MATCH 0 PROFILE Artificial Intelligence matches Artificial Intelligence Analyzes and right content to students needs Profiles Students to Identify Optimal dynamically Instruction Style EFTA00797492 SOLUTION Demo IN PERSON DEMO AVAILABLE UPON REQUEST * Functionality for Backend view only EFTA00797493 9))) PRODUCT a Facial tracking Emotion recognition Posture and movement Voice and tone recognition Monitors for distractions Lack of engagement O O rat Chatbots offering assistance Video adaption (Replay and slow downs) Alternative content recommendations Pause suggestions Gauge retention and understanding Find gaps in knowledge to then supplement Self surveys for understanding and future improvements FACULTY DASHBOARD e Classroom level statistics Student ranking based on performance and engagement Statistics dictating motivation, learning style, and risk STUDENT DASHBOARD ;414) ---Forum and student interaction Statistics on self performance, progress, general knowledge, and improvement areas EFTA00797494 WHY NOW State of Artificial Intelligence Companies Focus Global Workforce Is Corporations On Al Technology Not Prepared For are investing in Future Jobs their employees 334% 70% Increased Al Mentions in Company transcripts from 2015-2017 Global workforce lacking necessary skills Source: Pew Research 32.5% Annual growth in Corporate Job Retraining. Increase in U.S. training spend from 2016 to 2017 Source: Bloomberg Source: Training Magazine Annual Report EFTA00797495 MARKET SIZE Market Opportunity Total Addressable Market Total Training Spend of U.S. Businesses 2017 Source: Training Magazine Serviceable Available Market U.S. Spend on eLearning training tools 2017 Source: Training Magazine 1% Share of Market Student Technology Spend on Ahura Source: National Center for Education Statistics National Association for College Stores EFTA00797496 PRODUCT ROAD MAP Building Team & Partnerships Data Collection Building Demo & Signing LOI's 2018 Al Model Development 9 Sales & Marketing Development Product Launch 2019 2020 • • •a 2021 SERIES A EFTA00797497 11 BUSINESS MODEL: SOFTWARE -AS-A-SERVICE $15 $2,152 $18,000 $39,600 Cost Per Cost Of Acquisition Average Life Time Lead Per Customer Customer Value Customer Value EFTA00797498 COMPETITION PREDICTIVE FACE 8, HEAD FACIAL NATURAL VOICE Al TRACKING EXPRESSIO LANGUAGE EMOTION N ANALYSIS PROCESSING RECOGNITION AT-RISK TARGETED RANKIN INTERVENTI ON I-A- AHURA t Querium Q fishtree --_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_. Eti KNEWTON I alto CENTURY iNTELL 4E. LEARNING' versal EFTA00797499 11 WHERE WE ARE SEED ROUND FUNDING $3M at $10M Post Money Valuation 161 1. Deliver Product to 3 LOI's O2. Sales & Marketing to Generate Revenue 3. Continued Product Development EFTA00797500