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 we 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 alliances and setting up 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).