EFTA00797486.pdf

PERSONALIZED INSTRUCTION FOR ALL USING ARTIFICIAL INTELLIGENCE SEED STAGE EFTA00797486  TEAM Bryan Talebi Barnaby Bienkowski CEO I Co-Founder VP of Engineering I Co-Founder • 15 years of sales leadership experience • Over 10 years of Silicon Valley experience • Notable companies: Bizzabo, Zocdoc, Sols • Lead Intel's self driving car unit • Started career at 16 years old working for • Specialty in creating and scaling global software NASA Sasha Raskin Mikhail Gervits Head of Content & Partnerships I Co-Founder Head of Design I Co-Founder 10 years of experience building careers as a literary agent • Over 15 years of digital product and marketing • Worked at UTA representing international best selling experience authors • Notable clients: Viacom, Nike, IBM Began college at UC Berkley at age 16 in Cognitive • Holds degree from Rhode Island School of Design Neuroscience Dan Bersak Sofia Trexler Technology I Part Time Business Analyst 15 year career in technology innovation • Holds 4 Degrees from MIT and Yale • Served as CTO at various companies leading to successful exits Nu Micro soft P ji Yale Z Zocdoc ®Berkeley t)-9 a a a a a EFTA00797487 PROBLEM 49M US employees need 800m Jobs Lost Globally 84% Students Withdraw to be retrained To Automation By From Online Courses Source: Pew Research Source: edX Four Year Study 2030s Source: PwC EFTA00797488 SOLUTION Top Achievement Rates . $1 90% t4 v. 20 V TRADITIONAL PERSONALIZED INSTRUCTION VS 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 O TRENr WHY PROBLEM brick and mortar Online learning is The outcomes are poor, education to online scalable and affordable completion rates are low learning No one has fixed this issue, but Ahura's technology can EFTA00797490 SOLUTION Al web platform where users access personalized learning tool's Faster Learning Track Increased Retention of Reduced Costs With customized content Material With Al available at scale With targeted intervention 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 * Functionality for IN PERSON DEMO AVAILABLE UPON Backend view only REQUEST EFTA00797493  PRODUCT a Facial tracking Monitors for Chatbots offering Gauge retention and FACULTY DASHBOARD distractions assistance understanding Classroom level Emotion recognition Lack of engagement O Video adaption (Replay and slow downs) Find gaps in knowledge to then statistics Posture and supplement Student ranking movement O Alternative content e based on recommendations Self surveys for performance and Voice and tone understanding and engagement 9))) recognition rat Pause suggestions future improvements Statistics dictating motivation, learning style, and risk STUDENT DASHBOARD Forum and student ;4 14) 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% 32.5% Increased Al Global workforce Annual growth in Corporate Mentions in lacking necessary skills Job Retraining. Increase in Source: Pew Research Company transcripts U.S. training spend from 2016 from 2015-2017 to 2017 Source: Bloomberg Source: Training Magazine Annual Report EFTA00797495 MARKET SIZE Market Opportunity Total Addressable Market Serviceable Available Market 1% Share of Market Total Training Spend of U.S. Businesses 2017 U.S. Spend on eLearning training tools 2017 Student Technology Spend on Ahura Source: Training Source: Training Source: National Center for Education Magazine Magazine Statistics National Association for College Stores EFTA00797496  PRODUCT ROAD MAP Building Team & Partnerships Data Sales & Al Model Marketing Collection Development Development Building Demo Product Launch & Signing LOI's 2018 9 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 AT-RISK TARGETED Al TRACKING EXPRESSIO LANGUAGE EMOTION RANKIN INTERVENTI N ANALYSIS PROCESSING RECOGNITION ON I -A- AHURA t Querium Q fishtree --_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_. Eti KNEWTONIalto 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 O 2. Revenue Sales & Marketing to Generate 3. Continued Product Development EFTA00797500