This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 3099067.
2019 Startup Elevate Startups - TechXLR8
< Company Intro >
Established at the end of 2015, we are a Techstars company with 35 employees in Korea with a subsidiary in London as well.
Our CEO is a search mafia in Korea, who has worked in the search industry for more than 20 years. He is the first person to commercialize semantic search in Korea.
What we do:
We have built a QA(Question Answering) system based on Deep Learning, which is different to the existing players who heavily rely on the rule-base or the ontology system.
Our core strength is that we can understand the true intention of a question and can find the related passage using Deep Learning and MRC (machine reading comprehension).
As a public reference, we have co-ranked #1 in SQuAD 2.0 with Google AI team, which is an MRC competition led by Stanford University’s NLP team.
Our patented QA system is the 1st and only commercial version in Korea which is already used in 50% of the smart speakers in Korea. Since our launch, we have worked on projects including a Smart Watch for LG, a Customer Service Chatbot of LG, a Smart Speaker of Korea Telecom, a Data Intelligence System for Daewoo and a Korean integration for Softbank’s Pepper robot.
We will be providing our system in a SaaS platform this year. 3 major types of our PaaS platform deployment would be 1) On-premise, 2) 3rd party (API, SDK) and 3) Open API.
Funding & Investment related:
We have completed our seed funding including gov’t grants of $3.6m. Our seed funding was led by NAVER, which is the most dominant search engine in Korea, with a market cap of $20bn.
We are now seeking for a Series A round which will be up to $10m
We are currently talking with investors in Korea, Europe, and US.
< The Short Story of 42Maru >
42Maru is building the next generation of search. Our QA (Question Answering) system uses deep learning to understand a question and deliver a single correct answer from a large unstructured data-set. Our technology finds the answer in real time using MRC (Machine Reading Comprehension). We have co-ranked #1 with Google AI team in Stanford University’s MRC competition. (as of Nov. 2018)