1) What we do • We develop a deep learning based QA(Question Answer) system that understands the true intention of the question and provide a Unique Correct Answer 2) Why • AI based Smart machines are penetrating into our everyday lives, there are signals of paradigm shift from the traditional [...]
42Maru Overview

1) What we do
• We develop a deep learning based QA(Question Answer) system that understands the true intention of the question and provide a Unique Correct Answer
2) Why
• AI based Smart machines are penetrating into our everyday lives, there are signals of paradigm shift from the traditional web search system to QA system.
3) Market Size• Globally expecting a $50bn market size by year 2025 (+50% YoY). • 50% of all searches will be done by voice searches by 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 to the existing system because we have a high accuracy, self expansion of KB(knowledge base), low GPU cost, quick response. • This is the reason why we have the globally the first deep learning based QA commercial version in Korean. • We have experience in a commercial version of semantic search which has similar logics with QA system and also have multi-language web-search experience as well. • Strong team with CEO having +20yrs 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
• 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 ship building industries and financial institutions.
9) Competitors
• Competitors have QA systems based on either Rule-based or Inference based which has limitations on commercialization.
10) Team
• CEO: Pioneer in the search engine industry with +20 years of experiences, deep learning expert • Total member of 27 (22 QA specialists) (hiring currently more)

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