1) What We Do • We develop a deep learning-based QA (Question Answer) system that understands the true intention of the question and provides a Unique Correct Answer. 2) Why • AI-based smart machines are penetrating into our everyday lives; there are signals of a paradigm shift from the traditional web search system to a QA system. 3) Market Size • Globally, we expect a $50 billion market size by the year 2025 (+50% YoY). • 50% of all searches will be done by voice searches by the year 2020. 4) Technology • We have core technologies in IR (Information Retrieval), Triple, MRC (Machine Reading Comprehension), Paraphrasing, NLU/NLP (Natural Language Understanding/Processing), etc. 5) Core Competency • Our system is different from the existing systems because we have high accuracy, self-expansion of KB (Knowledge Base), low GPU cost, and quick response. • This is the reason why we have the globally first deep learning-based QA commercial version in Korean. • We have experience in a commercial version of semantic search, which has similar logic to the QA system, and also have multi-language web search experience as well. • We have a strong team with a CEO having over 20 years of related work experience. 6) Target Markets • Connected Cars, Smart Speakers, Home IoT, Home Robots, Smart Toys, Personal Assistants, Chatbot Apps, Intranet, KMS. 7) Business Model • We are planning B2C penetration through B2B2C Alliance and set for global expansion with multi-language support. 8) References • B2B projects with some major TELCOs in Korea, such as LG and Korea Telecom, and also with big shipbuilding industries and financial institutions. 9) Competitors • Competitors have QA systems based on either rule-based or inference-based methods, which have limitations on commercialization. 10) Team • CEO: Pioneer in the search engine industry with over 20 years of experience, deep learning expert. • Total members of 27 (22 QA specialists) (hiring currently more).