42Maru

42maru.ai

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 world's 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 are 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: 27 (22 QA specialists) (hiring currently more).

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