KAIST Startup-ting X FuriosaAI Review

The 2nd company of 2020 Fall Startup-ting is FuriosaAI! FuriosaAI joined us for LunchTalk, followed by Startup-ting. Due to COVID-19, the session was held online through Zoom.

FuriosaAI is a startup that designs and develops customized AI inference coprocessors, and received more than 10 billion won in investment from Naver D2SF, etc. Like NVIDIA and Google, FuriosaAI is growing as a competitive company.

FuriosaAI’s Startup-ting was divided into parts – company introduction, semiconductors, hardware, software – followed by a Q&A session.

In this Startup-ting, the CEO gave a brief company introduction, answered questions asked in advance, and gave a lecture on FuriosaAI and semiconductor chips.

Competition in the Global Battlegrounds: a Breakthrough to Conceptual Design – CEO June Paik

The first part of Startup-ting started off with a lecture focused on FuriosaAI by CEO June Paik. FuriosaAI is a developer and manufacturer of AI inference coprocessors, founded in 2017. AI coprocessors are similar to those of NVIDIA and Google. FuriosaAI develops AI as well as products.

Semiconductor chips are difficult to make, but it is even more difficult for startups to compete with semiconductors because NVIDIA is used widely in the market. However, if it is developed, it will become competitive not only in the domestic market but also in the global market. NVIDIA, Qualcomm, and Intel also started off as startups, not as big companies. Currently, AI is emerging in the market, so many related startups are bound to appear. FuriosaAI said that at this point, there is a possibility for startups to succeed in the market.

CEO Paik briefly introduced FuriosAI, then proceeded with a Q&A session. Since AI is an area of interest for KAIST students, there were a lot of questions asked not only in advance but also in real-time chatting. A memorable question was “What is the most important thing to study as an undergraduate to research and develop AI chips?”, to which CEO Paik answered that developing AI coprocessors involves the development that targets microprocesses, so it’s important to study the basic concepts at school and practice making semiconductor chips. FuriosaAI makes and designs these chips itself.

The next question was “Some people say that the environment of doing a fab-less business in Korea is relatively poor compared to the overseas. Did you ever feel inconvenienced while leading a startup?”, and CEO Paik replied that doing a fab-less business is difficult whether it is in the U.S. or Korea. Because it is a global product without borders, it must be done as a global business. He said that if the semiconductor chip is good enough, it will have a competitive edge in the global market.

FuriosaAI is a semiconductor company, but there are 60% software and 40% hardware engineers working.

There was also a question like “AI chips have a high entry barrier, but how did FuriosaAI decide on such business goals?”, and Paik said that he didn’t know he would enter the semiconductor business, but when he took a sick leave in 2014, he thought of AI as a comprehensive study and studied architecture, signal processing at school. After returning to the company, he thought AI semiconductors was an opportunity and started a new company with people around him. A new road will open if one continues to do what he or she has been doing. In the case of early team building, CEO Paik worked with CTO Hanjoon Kim previously, and other team members were introduced by acquaintances. He mentioned that building a team with those who previously worked together or are introduced by acquaintances is probably the most proven way. Currently, FuriosaAI has more than 30 employees, with talented people from Samsung, KAIST, Seoul National University, Postech, and MIT. An important thing while doing a business is to have ideas, set high but realistic goals, which gives the power to decide for a company.

It seems like there were a lot of people who fell for FuriosaAI during the Q&A session. Paik added that anyone with the fundamental technology, passion, desire to create a GPU and experience the engineering process is welcome in FuriosaAI.

Pursuing the best computational structure – CTO Hanjoon Kim

The second part of the Startup-ting was a lecture about hardware architecture by CTO Hanjoon Kim. CTO Kim earned a Bachelor’s and Integrated PhD degree in the department of Computer Science at KAIST. The lecture was as follows.

What problems are we trying to solve?

We need a programmable architecture for deep learning

  • New deep learning algorithms can be optimized on it
  • Provide a good abstraction to tools & algorithms
  • Should be based on a fundamental understanding of algorithm, architecture, compiler, and system

New methodology, team, and infrastruture are necessary

CTO Hanjoon Kim was worried about which problem to solve while studying for 10 years. His desire to solve problems in the world was so large that he decided to study computer architecture, which is a field about designing chips like Intel’s CPU and GPUs. After trying implementing chips in research papers that he studied, he saw that the performance lacked compared to that of Intel, and realized that the architecture inside Intel’s CPUs were much more sophisticated.

After 10 years of study, he entered a company where he encountered practical problems, and decided to create a system to solve the problems. CTO Kim did prior studies and worked hard to solve problems that would be helpful to the society. Kim found out that Architecture, Compiler & Tools software stack, Deep learning Algorithm, Network Architecture Search, Board & System, Chips, and etc. must all come together to make an AI coprocessor. Just like the amp lab shocked the world by making a spark, CTO Kim wanted to solve an impactful problem in the world and recommended that KAIST students should also do such thing.

The first half of CTO Kim’s lecture contained his philosophy, while the second half was about Challenges in Architecture. Below is a brief summary of the lecture.

  • Pursuing the best computational structure
  • how to build chip for deep learning

As various algorithms are discovered and developing, there may be cases when there are tenfold differences in performance between algorithms. It is important to find a fast algorithm. However, the building speed cannot keep up with the speed of algorithm development, and hardware isn’t set up delicately. To solve this problem, it is important to maximize the use of transistors, which must be configurable enough for certain accelerator architecture and for all algorithms. Since algorithms are constantly being introduced, architecture is not exactly specialized. It is important to understand deep learning algorithms correctly to design architecture and compilers. There are a lot of tasks that require a lot of engineering to design compilers. Instead of just focusing on accelerating the process, it is important to think about how to design the soft steps and the hardware (see below).

Software Architecturing/Implementation-Physical Design/Manufacturing-Verification-RTL Implementation-Performance Modeling/Architecturing

As algorithms change, the framework, architecture, and compiler are changing as well. Different from problems arising while making IPUs in previous fab-less productions, making AI coprocessors should be done in a comprehensive way. While making such chips, Methodology, Team, and Infrastructure are important.

Pushing the impossible limit-Software Jaeseung Ha

The third session was about the software team at FuriosaAI. Jaeseung Ha of the software team previously worked at Nexon, NC SOFT, Neople, and has 10 years of game development experience. He gave a lecture in a self-Q&A section structure, and introduced himself. He left a game company to work at FuriosaAI, because he thought that FuriosaAI’s vision of deep learning will be more widely used in the future and that deep learning accelerators were essential technologies. The tasks of performance, testing environment, and demonstrations were similar, which is why he decided to move. To the question about what kind of work a software developer does at a hardware development company, he answered that he develops a deep-learning related software and a deep-learning accelerating compiler.

FuriosaAI’s compiler also provides a TensorFlow-lite compatible API, which enables running deep learning production models. In addition, Neural Architecture Search is important, so a research on finding a smaller and faster model that does the same task is being conducted. In the current deep learning development environment, if you do not have a software, then even if you have a good chip you need a software stack. Developer Ha is in charge of making Python bindings, and various software tasks. FuriosaAI’s deep learning accelerators does not pale in comparison to NVIDIA’s RTX. In addition, he mentioned that developing the architecture as a software is also important.

Developer Jaeseung Ha says that FuriosaAI is a startup with a free environment and a lot of opportunities and smart people. At FuriosaAI, you can solve valuable problems, contribute to the development of AI, as well as compete with NVIDIA and Google.

Q&A and Discussion

After Developer Jaeseung Ha’s lecture, there was a followed up live Q&A session. One of the questions was about what kind of strategy Furiosa has in competing with NVIDIA, and CEO Paik answered that there will be a deep-learning accelerator that will eventually have better performance than Google, Tesla, and NVIDIA’s GPU. However, not all companies can make these chips, and Furiosa can meet the needs of companies like Naver and Kakao who demand customized chips. It’s difficult for startups to survive in the semiconductor market, because developing chips require a huge budget, but Furiosa believes that they can attract investment if they own a competitive edge.

During the session, there were also a lot of participants who were interested in the FuriosaAI internship. Information about the internship program will be sent by e-mail to interested participants in the future.

Although FuriosaAI’s Startup-ting was online, participants stayed until the end and communicated in real time. Students seemed to be interested in the AI field, and thanks to CEO Paik and others explaining terms used in the field, participants were able to understand fully and become more interested. FuriosaAI became well known in the AI semiconductor chip market within 2 years of its founding, and became a company that competes with NVIDIA and Google. We look forward to the future of FuriosaAI, and hope that it becomes the leading company in the industry just like Furiosa of Madmax.

Although it was online, thank you for participating in FuriosaAI’s startup-ting! Please look forward to the next startup-ting 🙂

KAIST Startup-ting X CHEQUER Review

The first startup of 2020 Fall Startup-ting is Chequer! We met Chequer during 2019’s LunchTalk, and Chequer once again joined us for Startup-ting. Due to COVID-19, it was held online through Zoom.

Chequer is a data management and analysis solution software software startup that develops SQLGate, an integrated development environment (IDE), and QueryPie, an integrated analysis environment (IAE). In today’s Startup-ting, Chequer’s staff discussed about the web, database, and Silicon Valley, with a Q&A session followed up.

The Silicon Valley Challenge of a Korean Software Company – CEO InSeo Hwang

The first chapter started with CEO InSeo Hwang’s story of the Silicon Valley Challenge of a Korean software company, and explained about the births of SQLGate and QueryPie. Chequer developed a data management and protection solution to help businesses solve problems. Chequer’s software service works on web browsers, and checks whether a user has access to a database and data is being recorded well.

Chequer launched QueryPie in July 2019 and successfully entered Silicon Valley by targeting the US market, eventually receiving investment by Y-combinator. At Y-combinator, a company must concisely and accurately introduce the company, product, and its problem solving skills within 10 minutes. Last year, Chequer overcame the 135: 1 passing rate and became the only Korean startup to receive investment. It is important for software startups to make a product that can sell and to focus on customer needs rather than trying to solve problems with technology. In addition, Y-combinator focused on entrepreneurs, so we defined the importance of team members. The capabilities of the entrepreneur determine the size of the company, which means that not all entrepreneurs can succeed. For software startups to survive, an excellent team that heads in the same direction is necessary and it is important to become the best, not only in the US but also in small markets. Since there is no right or wrong in the startup world, we emphasized the importance of people.

Startup Agile best practice-Head of engineering Dong-Woo Kim

Dong-Woo Kim is the head of engineering as well as a developer with 16 years of experience. He was interested in the work process which led to him to the software development field. Kim is already famous in the front-end field, and his detailed explanations and organized PPT were very comprehensible.

Kim first began explaining Agile by comparing it to Waterfall. Waterfall is a linear sequential life cycle model, so it is difficult to move back to make changes in the previous phases. On the other hand, the Agile model follows an incremental approach by building a Minimum Viable Product (MVP).

There are two widely used methods in Agile called ‘Scrum’ and ‘Kanban’. In Scrum, the team breaks their work into goals that can be completed within timeboxed iterations called Sprints (usually 1~4 weeks). During the Sprint Retrospective, the team discusses what went well and what could be improved. Kanban has a route of to do – doing – done, so it is easier for people to understand and manage their work. There are some limitations to each route, but it allows constant improvement. Scrum is widely used in development organizations, and Kanban is used in testing teams or teams with stable priorities and services. In Scrum, the most important concepts are story and velocity, which emphasizes the speed of the team. Once the amount of work for the next two weeks has been set, you can follow the Burndown chart (x-axis: Spring time / y-axis: Remaining Story Point) to check if you’re going in the right direction.

The procedure of a scrum sprint is as follows: Planning Meeting (plan unit sprints and choose sprint goals, all persons concerned participates) → Daily Standup (within 15 minutes, issue-oriented meeting) → Demo/Review (after achieving 2 weeks of goals, share achieved sprint goals and feedback) → Retrospective (sharing what you liked, lacked, learned, and things to continue).

Currently, Chequer’s QueryPie is at the 44th Sprint. For more information, please check the blog post by Chequer.

How is QueryPie made – Co-Founder Ki-Yong Jang

The third lecture was by co-founder Ki-Yong Jang, who worked as an open source developer since 2013 prior to the establishment of Chequer. Jang tried to create an interactive time with the participants to overcome Zoom’s shortcomings.

The front-end ecosystem went through a stormy period due to new development sources such as Javascript and UI, and has settled onto React component. Because SQLGate only worked on Windows, Chequer developed QueryPie which works on mac and Linux. While creating a large data grid and challenging the new paradigm of development, Chequer launched QueryPie. QueryPie is used by various companies such as Yanolja and Kakao Enterprise.

Chequer is also working on application development, because more customers want to develop apps instead of web. In the new web version, a storybook was developed and introduced. Storybook allows component-unit development, so it improves work division and development speed. In addition, using snapshots users can test UI more efficiently. Look forward to a more advanced QueryPie!

QueryPie’s Security, Cloud, and Back-end Architecture – CTO Kwang-hyun Eom

CTO Kwang-hyun Eom has been building 20 years of development experience at Naver and Kakao, and joined Chequer in February 2020. Eom explained about the back-end development process. QueryPie is the only tool that satisfied the Product Market Fit with a Support cloud platform, Compliance, NoSQL, Data warehouse, Web based application, and QueryPie powerful editor. Chequer created an architecture based on the Product Market Fit that provides support transaction, modularity, and automation. In terms of security, QueryPie provides data masking and query captor. Data masking is demanded by the market because it limits and adjusts the access of private information. Query audit & capturing receives and manages the queries sent to DBs, so is also demanded. This was the story of the back-end development technology.

20 year-old Developers, Fly High from Startups

The following section was like a talk show rather than a lecture, with 20-year-old developers answering questions asked by director Dong Woo Kim through Zoom. It was a good time to hear about the realistic stories of 20-year-old junior developers from QueryPie’s QSI team. Each developer explained what they were doing at Chequer, and how they got into Chequer. Some developers gave up on studying to work as a developer, and some prepared step by step since high school. Junior developers challenged themselves by studying, doing group studies, and through online communities to improve development skills. One developer was motivated to join Chequer because he knew that QueryPie was made by Chequer, one wanted to develop QueryPie doing alpha tests, and one joined after learning about Chequer in an open chatroom. Through this time, it was clear that Chequer gave junior developers high responsibilities, allowing for growth.

Q&A and Discussion

Based on the questions received from pre-registration, the CEO and executives of Chequer had a Q&A time. Chequer kindly answered the numerous questions and solved the curiosities of participants.

There were many questions about Chequer, starting a business, difficulties running the company, and what students should do to become software engineers. Regarding the question about how to prepare for coding tests, Chequer answered that rather than the ability to implement algorithms, it is important to understand the programming language itself and what can be utilized to solve problems.

The biggest difference between Chequer and existing DBMS and relational data service companies is that it is a startup and has successfully entered the Silicon Valley. There were many questions about Y-combinator, and Chequer answered that it is important to answer exactly about the product in the market, number of users, and how often the users use the product on a weekly and monthly basis. In addition, to be selected by Y-combinator, a company cannot have a solo founder but must have engineers.

There were many questions related to software development, and the executives gave detailed answers based on experiences and examples. When asked about Chequer, they answered that Chequer provides more than 30 days of annual leave and has a corporate culture with few labor intensity problems. Chequer is heading towards an integrated platform due to the expansion go the data analysis and security markets. In the startup environment aspect, Korea has become a good country to start a business, and there are a lot of support programs in schools. However, companies with problems need to shut down, but have been maintained hindering the regulation. Besides questions from pre-registration, Chequer answered various questions through live chatting. Check out the Youtube video to see more questions and answers!

Although it was a short time online, Chequer showed a free and open work environment, using English names in the company. We were able to get a glimpse of the open atmosphere, when junior developers and executives communicated freely.

Today’s Startup-ting was a solid time to really show what Chequer was like. The full video will not be uploaded, but those who could not participate in the startup-ting can watch the Youtube video to learn about Chequer. Chequer wanted to hold Hackathons besides lectures as well, but due to the limitations of holding events online, the startup-ting was held in the form of a lecture. We hope COVID-19 ends soon so students can meet Chequer offline, face-to-face! Although it was online, thank you for participating in the Startup-ting and please look forward to the next Startup-ting 🙂

2020 Spring LunchTalk Report

Entrepreneurship Lunch Talk

Entrepreneurship Lunch Talk is a monthly entrepreneurship lecture program held during the semester to inspire entrepreneurship in KAIST. Due to COVID-19, 2020 Lunch Talk was held online and is available on Youtube Live!

April To Survive in Harsh Korean Software Startup Field – CHEQUER CEO InSeo Hwang

One of the most important assets in a modern enterprise is data. Data is crucial to make important business decisions, because companies must collect and analyze countless data, regarding customer information, sales, and advertisements. While there are many solutions that collect, refine, analyze, and visualize data in the market, there is no general solution that can combine various solutions according to the situation. Even if the solution successfully integrates data collection, analysis, and visualization of data, data efficiency and productivity are very low due to the high level of security required for data and personal information leakage issues.

Additionally, most large companies have built their own ERP (Enterprise Resource Planning), BI (Business Intelligence), DI (Data Intelligence) platforms at astronomical costs, or integrated extremely expensive solutions in the market into their own internal systems. Thus, it became more difficult for startups and SMBs (Small Medium Business) to integrate and innovate data tasks at a reasonable cost.

CHEQUER develops and sells SQLGate, the No.1 database IDE for domestic customers. The company has a higher level of understanding and expertise in databases and the data industry than any Korean data company, and is rapidly growing in the global market.

The first online Lunch Talk of 2020 was held with CHEQUER’s CEO InSeo Hwang about “ How To Survive in Harsh Korean Software Startup Field” 🙂

May Wise Startup Life – Bluepoint Partners CEO Yongkwan Lee

Bluepoint Partners, established in 2014, is a partnership-driven startup accelerator that invests in high-tech companies. Bluepoint Partner’s CEO Yong Kwan Lee, has exited from his previous semiconductor startup Plasmart, and established Bluepoint. Until last month, the company invested in 151 startups in fields of Internet of Things (IoT), robots, software, and bio, with an estimated corporate value of 1.3 trillion won. ‘Aron’ and ‘Tomocube’, one of the first companies to be invested, are considered as startups with the most advanced technology in the field. Last year, the medical device company ‘Speclipse’, which offers cancer diagnostic solution, was taken over by ‘CELL RETURN’, and ‘Polariant’, a startup which developed an indoor position tracking technology, was taken over by ‘Socar’.

The CEO of Bluepoint Partners Yong Kwan Lee gave a wonderful lecture for the May Lunch Talk. It was an insightful time to hear about Lee’s startup and exit experience 🙂

June (#1) The Startup Dream of a Doctor – Healcerion CEO Jeong-won Ryu

Healcerion is a company which developed a wireless portable ultrasound device called ‘SONON’ in 2014. SONON is the world’s first wireless portable ultrasound device that can connect to smartphones and tablets, and made high-end ultrasound devices that weigh over 100 kg used in hospitals portable. SONON only weighs 370 g and reduced existing bulky ultrasound devices to the size of our palms. Sonograms can be displayed by connecting SONON to smartphones, tablets, and PCs.

Healcerion CEO Jeong-won Ryu, who successfully became a high-tech medical device-related venture business man from a doctor, gave a great lecture about “The Startup Dream of a Doctor” at the Healcerion Seoul headquarters 🙂

June (#2) How We Redefine Productivity for the Future of Work – SWIT CEO Juhwan Lee

Swit is a San Francisco-based startup that provides a team collaboration platform that combines team chat with task management. Since its official release in March 2019, the company has been growing rapidly, with about 2,000 client companies and 10,000 teams using the service. In February, the company won the “Growth Startup of the Year” award at Startup Grind’s 2020 Global Conference, the world’s largest startup community with over 4,000 startups from 133 countries participating.

The CEO of SWIT Juhwan Lee joined us for our special Lunch Talk in June 🙂

If you’re already using collaboration tools like Slack and Notion, how about using SWIT for the perfect collaboration experience? +_+

We were glad to spend insightful time with the speakers in the spring semester 🙂

Stay tuned for more Lunch Talks in the second half of the year!!

16th E*5 KAIST (`20 Spring) – Online

KAIST Student Startup Support Program

E*5 KAIST (16th)

  • 18 Teams Participating

    Total of 78 participants

  • Duration

    2020. 4. 21 – 2020. 6. 19

  • Awards

    1 Grand Prize / 2 Awards of Excellence / 1 Special Prize / 1 Activity Award

Grand Prize


Award of Excellence

(2nd Prize)


Award of Excellence

(3rd Prize)

J.AI Labs

Special Prize


Activity Award

Mo Sunsaeng

  • Mentors

    16th Mentor Group

Yonggun Kim

Yonggun Kim


Bluepoint Partners VP

Hwaseong Jeon

Hwaseong Jeon



Ki-Jun Kim

Ki-Jun Kim


Kakao Ventures VP

Tae-Yeon Jeon

Tae-Yeon Jeon


BonAngels Venture Partners General Partner

  • E*5 Seniors

    Seniors who participated in E*5 KAIST

Jeungmin Oh (3rd E*5)

Jeungmin Oh (3rd E*5)

HayanMind Inc. CEO

Chang Gi Hong (8th E*5)

Chang Gi Hong (8th E*5)

H2K Inc. CEO

Howook Shin (13th E*5)

Howook Shin (13th E*5)

SelectStar Inc. CEO

  • Details

    Mission + Activity

Mission 1.
Business Model
Actualization and improving business ideas through establishing business modelsEducation (online): 4/21
Coaching (online): 4/22
Evaluation (online): 4/23
Conducted regularly
Mission 2.
Customer Discovery
Verification of idea commercialization through understanding and analyzing the target marketEducation (online): 4/28
Coaching (online): Done regularly
Evaluation (online): 5/21
Conducted regularly
Mission 3.
Pitch Deck
Establishing business ideas & Business overviewEducation (online): 5/26
Coaching (online): Done regularly
Evaluation (online): 6/19
Conducted regularly
MISSION FINAL 평가Overview PitchingFinal Evaluation (online) : 6/19Conducted regularly

Out of the 25 teams participating, 18 project teams were selected in the first mission. The selected teams then developed their ideas through each mission, which consisted of education, coaching, and evaluation by the mentors. Due to COVID-19, the 16th E*5 KAIST Program was conducted online, except for the final mission. During the Final Mission Evaluation, 12 teams subject to the final pitching visited Startup KAIST, and judges gave comments and evaluations through live streaming.

Mission Education

Mission Coaching (By Seniors)

Mission Evaluation

1 Mentor was assigned to educate for each mission, and 3 Seniors were assigned to coach the teams on a regular basis. After the education and coaching stages, teams were selected through evaluation to receive additional funding.





Field Trip


During the program, teams visited mentors (Mentoring), met with field experts to solve issues (Networking), visited startups (Field Trip), conducted marketing research (Research), and collaborated through activities and team meetings (Teamwork). All activities were uploaded and recorded on ‘CLASSUM’.

Show Your Idea,


Startup-ting X Studio XID “Startup story of ProtoPie, a global startup with worldwide customers” Review

2020 Spring’s last Sartup-ting was hosted with Studio XID, better known as ProtoPie. Although the session was live streamed on Youtube due to COVID-19, over 140 people participated and it was a pleasant and enjoyable lecture! ProtoPie is a prototyping tool that helps designers and developers communicate. It has users from 100 different countries, and is used by worldwide companies such as Google, Nintendo, Line. The story of ProtoPie begins now!

CEO Soo Kim, a former interactions designer at Google and Naver, started Studio XID after leaving Google in 2013. While working at Google and Naver, he spent a quarter of his time in China, a quarter in the U.S., a quarter in Korea, and the rest in planes, building up his own product. Today’s Startup-ting was divided into 3 chapters: the startup story of ProtoPie, how to make a global product, and how to compete with foreign competitors.

Protopie Stories behind the protopie

ProtoPie is a code-free interaction prototyping tool for digital products. Designers can easily explore design solutions with prototypes, and developers can test designs to minimize resources. “ProtoPie” is short for “Prototyping as easy as pie”, which means anyone can easily create prototypes. “XID” of “Studio XID” is an abbreviation of “Exceptionally Intelligent Design”. “XID” also sounds like “seed”, hoping that the company can be a place where designers can sprout like seeds. Studio XID was established in 2014 following the first launch of ProtoPie in January 2017. Studio XID builds a prototyping tool for designers, and provides B2C services, as well as industrial software services. The team consists of 4 leaders, 3 of whom graduated from KAIST and worked at Google, Samsung, Naver, and Publicis, a worldwide digital agency.

Studio XID has customers from 100 countries, and is working with companies all over the world, e.g. Microsoft, GoPro, Motorola, and Tencent. The upcoming product that will be released by Microsoft, as well as Google Chromebook OS, and Nintendo were designed using ProtoPie. In addition, HBO’s TV series Succession 2 used ProtoPie to control digital devices used by actors.

Born global- Global product made in Gangnam Korea

CEO Soo Kim thought of the idea of ProtoPie during his time as a product designer at Google, and tested whether there was a demand for creating prototypes. Google allowed time for designers to develop new products, and Kim had made a beta prototype with another engineer. After seeing that designers faced the same kind of problems as he did, he left Google to create his own prototyping tool. There were various reasons that made Kim decide to start a new company, but the main reason was that he wanted to help and give joy to people with his own product, even though at Google he could give a huge impact.

Studio XID created a cloud based alpha version tool and tested with Alibaba. At that time, the Chinese network had a lot of packet-related problems, and Studio XID thought that the success of the tool would lead to great profit. However, the first version failed because the images used by designers were too big, and the quality of the image would be downgraded due to packet loss. Soo Kim and his team resolved the package loss problem and in TechCrunch Shanghai, established marketing plans and opened pre-sales to continue his business.

Battle to win-Product, Marketing, Sales, Strategy

ProtoPie was first released in January 2017. Surprisingly, the first customer to use ProtoPie was Vietnam, and it turned out that Vietnam was known for being a software outsource destination in Asia. Starting with Vietnam, Studio XID expanded globally.

In January 2020, Studio XID was selected as this year’s most anticipated prototype design tool in various design magazines. It was not easy to create a global product from the start, but with the help of co-founders, Studio XID was able to become the worldwide company it is now. Kim recommended to start a company as a team, rather than working alone.

Kim mentioned that it was difficult to start a business in Korea, but views have changed and there is a K-premium because Korean people have been overcoming the COVID-19 situation well. Investors also like Korean startups because the labor costs of engineers are low, and there are a lot of startup supporting programs by the Korean government. Studio XID planned on building a sales office in the U.S. this year, but due to corona, plans have been delayed. Kim usually participates in various community activities, as well as travelling around the world to meet and listen to users, but is staying tight due to corona.

It is important to practice thinking big, as Kim says “Think big, Scale up, Generalize”. In addition, it is important to deal data with caution. For example, in the case of baseball-related data, Google uses MLB and Naver uses KBO as the data source, so it is important to not change the system structure drastically.

Lastly, the reason why startups usually fail is because the new product fails to find an appropriate market. When creating a startup company, it is important to choose and focus in a limited time. Kim agrees to “Do not compete, build a monopoly instead” from the book Zero to One. Many people say that it is important to have competition, but it is more important to find a market that one can monopolize because making a good product is different from making a good business. Kim ended the lecture stating that a startup is likely to succeed when there is a harmony between Product people, Business people, and Tech people, and that it is important to choose a target with a high probability of success when starting a business.


The lecture was followed by a Q&A session.

There were some general questions like, “What was most useful thing that you learned in school to start a new business?” and “What is necessary for a person who created a startup”. Kim answered that it is important to organize one’s thoughts logically, and that one needs passion, determination, and stamina, respectively. He also recommended to start a business after building some experience working in a company. There are also cases where people create a startup while they belong to labs, but they tend to not work as hard because they have a place to return and the pool to meet team members is limited. Thus, it is recommended to start a business once you have built experience.

To the question “How should we prepare if we want to target the U.S. market?”, Kim answered that one must consider whether the U.S. market is an early market to sell software to American users or an exit model. There is not much of a difference in setting up a Korean and American corporation, so it is important to decide based on why we are targeting the U.S. To one of the most important questions “How is Studio XID hiring?”, he answered that Studio XID simplified the Google recruitment process and created their own process. Kim also gave detailed answers to questions including “What is the difference between Framer X and ProtoPie?” and “What are the difficulties in getting investments?”.

Studio XID, providing the service ProtoPie, is growing into a global company. Kim hopes that the COVID-19 situation gets better as soon as possible, so the company can launch an office in the U.S. and more companies and users will be able to use ProtoPie. Studio XID is currently hiring in engineering and business, please apply and stay tuned for upcoming Startup-tings 🙂

Startup-ting X Mars Auto “Story of an Autonomous Driving Startup” Review

2020’s 2nd Startup-ting was hosted with an autonomous trucking startup called ‘Mars Auto’. Although the session was live streamed on Youtube due to COVID-19, many people joined and enjoyed our Startup-ting lecture!

Mars Auto, established 3 years ago, develops autonomous driving system for trucks. Today’s Startup-ting topic is about how the company was able to create the best autonomous driving technology in Korea with only 5 engineers and an initial funding of KRW 400 million. The story of Mars Auto CEO Ilsu Park begins now!

The lecture started with how Park decided to start his business and how he got interested in autonomous driving. Park initially had no interest in autonomous driving. However, when he thought about what he could do with what he learned in college and machine learning, he decided to create an autonomous driving simulator software. His initial goal when he first established his company in 2017 was to make an autonomous driving simulator well-made enough so that other autonomous driving companies could use the software. He decided that he needed to learn about autonomous driving in order to develop a simulator. It was difficult to test the simulator in real life, so he had to test the simulator in a virtual game. He learned that ‘autonomous driving = computer science + math” and successfully developed the technology. He wondered what value his technology could create, and came to the conclusion to automate freight transport. While communicating with freight transport companies, he gained confidence that he could apply the autonomous driving technology to automate warehouse to warehouse truck operations.

Once Park decided to start an autonomous driving company, he received a lot of questions regarding the unique competitiveness of his company from investors. It was not easy at first because Mars Auto lacked in research experience compared to other autonomous driving companies. However, Mars Auto collaborated with a lab at KAIST to create cars and develop the autonomous driving technology, and gradually built up its portfolio. After numerous testing at KAIST, the startup was able to receive funding from Kakao Ventures, and officially jumped into the autonomous trucking business.

In Korea, it necessary to be authorized by the Ministry of Land, Infrastructure, and Transport to perform autonomous driving. It was difficult to earn permission, but Mars Auto overcame the obstacle and earned a temporary driving permit to test the technology. The company was the first in Korea to successfully drive from Seoul to Pusan for 5 hours and 30 minutes without the interference of a driver. Fully autonomous driving requires keeping lanes and distance from the car in front, and Mars Auto had successfully developed the technology.

Mars Auto also received funding outside of Korea from Y-combinator, a famous startup accelerator. The company aims to collaborate with freight transport companies to completely automate warehouse to warehouse truck operations. Mars Auto is only three years old, but has successfully grown with a small seed money and a team of 5 members and the future of the company is anticipated 🙂

The growth of Mars Auto can be largely attributed to the engineers. In software engineering, 1 excellent engineer can do more than 10 good engineers. In addition, the company decided that cameras are more efficient than radars for trucks driving on highways. Mars Auto had to focus on using cameras because using existing radars required high labor. The company now uses cameras and other sensors to automate driving.

Mars Auto believes that data-based machine learning is the key to develop a full autonomous driving technology. The company is making way for efficient autonomous driving by developing a technology that automates data without the interference of the driver.

After the lecture, CEO Park answered questions that he received in advanced and through live streaming. There were questions regarding how he decided to start his own business, how Mars Auto is handling the difficulties of commercializing autonomous driving companies, how the team divided up the work, what open source the company has used, and etc.

Mars Auto is unique in that it focuses on autonomous trucks. The company is anticipated to grow not only in Korea, but also abroad. We believe Mars Auto will open the era of autonomous trucking 🙂 More Startup-tings are to follow. Stand by!

KAIST Startup-ting X Spacewalk Review

Due to COVID-19, 2020 KAIST Startup-ting was held online through Youtube live streaming. The first company to join us for Startup-ting was Spacewalk, a Proptech startup. Spacewalk provides an AI-based ‘Landbook’ service for land utilization, and has signed MOUs with public institutions such as NH bank.

AI & Proptech – CTO Daniel Lee

The first lecture of Spacewalk’s Startup-ting was about AI and Proptech by CTO Daniel Lee. Proptech is a coinage for the words ‘Property’ and ‘Technology’, referring to the field incorporating technology to real estate (land, buildings, etc.). The Proptech market includes concepts of smart real estate, real estate fintech, contech, and collaborative economy. The field is anticipated to solve problems between the market and customers through its technology and platform. Whereas sharing economies like Airbnb are Proptech v 2.0, companies that use big data or technology to help existing markets are v 3.0, to which Spacewalk belongs. Currently in Korea, asset types (residential, commercial, etc.) and service types (brokerage, information provision, construction, management, sharing, finance, etc.) combine with technology to form various fields in Proptech.

Asset managers and experts usually deal with large-scale real estate, but Spacewalk helps people build optimized buildings through technology and automation. Complex estate laws make profit estimation difficult and cause large deviation between buildings in the same area. Since estate is an area difficult to deal without experts, Spacewalk helps customers by predicting profits before and after real estate development. Spacewalk provides information (value evaluation) to landowners and investors, provides liquidity (purchase consultation and asset management model), and forms interests with real estate agents, consultants, public institutions, and architects.

Spacewalk uses deep learning to solve nonlinear problems, and has a Tech Pipeline that uses public data to engineer data, construct algorithms, and go through machine learning to derive results. Spacewalk owns and develops the world’s finest technology through deep reinforcement. Using artificial intelligence, the company generates the building’s exterior, plans parking space, allocates land use, and predicts value using an automated value evaluation model. Landbook, a software service provided by Spacewalk, reviewed about 500,000 m2 of land, estimated to be about 1.5 trillion KRW. There are more than 18,000 monthly active users and at least 1,500 daily active users of Landbook. Experts and masters of computer science, physics, mechanical engineering, and architecture work at Spacewalk to solve real estate problems and pursue expertise and diversity.

The Real Work Story of Proptech Developers and Engineers I – Full-stack Development, the misunderstandings and truth – Web Engineering Manager Wonmin Jeon

The second lecture is about the real work stories of Proptech developers and engineers by 3 developers. Wonmin Jeon, the Web Engeering manger, gave the first lecture about developing a Full-stack web.

Full-stack web development is made up of Front-end (Screen implementation & management), Back-end (Server implementation & management using framework made of languages like php, python, ruby, c#, etc.), and Devops (on-primise or cloud system construction & management). Web developers are required to have skills such as Git, Basic Terminal Usage, Data structures & Algorithms, GitHub, Licenses, Semantic Versioning, SSH, HTTP/GTTPS and APIs, Design Patterns, and Character Encodings. Front-end is web-based so it requires understanding of the internet, and Back-end requires understanding of communication and various skills, and knowing different programming languages.

Front-end is relatively simple because it communicates by receiving and manipulating data, but Back-end requires a deep understanding of algorithms to store, edit, delete and manage data. Devops is a stage required to understand which systems products are based on, and to deal with traffic. It is not easy to excel in all stages, so it is important to select a development method depending on the size of the startup. If the startup is at the beginning stage, it should choose a stack to use, and then develop a product and go through trial and error. If the company is the size of a unicorn company, it already has experts for each stack, and the stack depends on the organization’s situation.

To become a full stack developer, one must become a generalist, not a specialist. It is recommended to know Front-end well, and learn Back-end skills depending on the company’s characteristics. Devops requires basic knowledge of networks, linux, windows, OS, etc., and Cloud knowledge is mandatory. However, recognizing and solving problems as well as communicating with people are as important as having the skills.

The Real Work Story of Proptech Developers and Engineers II – Data Science at Spacewalk – Data Scientist Juhwan Hong

With the advent of Proptech 3.0, data science can be divided into three main fields: Smart Buildings, Collaborative economy, and Real estate Fintech. Firstly, in ‘Smart Buildings’, real estate management automates building control using sensor technology and IOT-based big data, and optimizes energy consumption. In ‘Collaborative economy’, such as Airbnb and Wework, it is important to process user data that stacks up every second. Finally, the ‘Real estate Fin Tech: Prop + Fin Tech’ field automates all real estate evaluation, including land and buildings, such as brokerage and leasing services, and investment and financing crowdfunding services. Spacewalk also works in each field for land utilization.

Real estate appraisal can be divided into single-property appraisal and mass appraisal. Mass appraisal is the process of valuing a group of properties using statistical models, and the demand for such is increasing. Various Automated Valuation Models (AVM) can be used in areas such as evaluation of mortgage (housing mortgage loan and estimating mortgage value for real estate-related financial products), determination of the amount of the tax base (including property tax, general income tax, inheritance tax, gift tax, etc.), economical aspects (identifying and predicting changes in supply in the land and housing markets, and establishing policies), financial management aspects (asset portfolio managing including real estate), and real estate development evaluation (business value assessment through value computation before and after development).

Real estate development evaluation is the service currently provided by Spacewalk. Spacewalk is planning a business model that will pre-emptively capture places with high business value through AVM by combining future development assessment with economical and financial management aspects. Since there is a limit to the traditional mass appraisal methods, Spacewalk is developing a non-parametric AVM using data science. Without standardizing real estate value into a specific function, Spacewalk is exploring various functions and finding a value function based on data that minimizes the researcher’s subjectivity. A non-parametric AVM can utilize various non-parametric model-based machine learning algorithms. Spacewalk goes through the following data science process to develop an AVM – 1. Frame the problem, 2. Collect raw data, 3. Process the data, 4. Explore the data, 5. Perform in-depth analysis, and 6. Communicate results. The roadmap to developing the AVM can be divided into three dimensions – space (current coverage range (Seoul, Gyeong-gi, Incheon, Pusan)-> expansion across the country->worldwide), time (future value, long-term plans), and usage (small residential real estate -> commercial, agricultural land, etc.). Spacewalk’s AVM will go beyond a simple valuation model to be used in optimizing real estate investment portfolios and use a deep reinforcement training module to optimize land utilization.

The Real Work Story of Proptech Developers and Engineers III – Constructing a flexible and expandable container-based big data pipeline – Data Engineering Manager Junpyo Lee

Followed up, Data Engineering Manager Junpyo Lee gave a lecture about constructing a flexible and expandable container-based big data pipeline.

Data Engineering is systematizing (automating) the process of moving source data to the target according to the business logic. Data pipeline, also known as ETL, refers to the set of processes of Extracting data from the internal DB, external server, or cloud through APIs or crawling, Transforming it, and Loading it into some database. To systematize a pipeline, a pipeline management tool is necessary, and to operate a pipeline, containers are used. Containers offer a logical packaging mechanism in which applications can be abstracted from the environment in which they actually run. Containers virtualize at the operating system level, so they are lightweight, start much faster, and use a fraction of the memory to boot. In addition, containers are consistent no matter where the application is deployed. Container management tools virtualize single or multiple systems, provide a container compatible environment, monitor containers, as well as reboot, expand, and copy container system resources. In Spacewalk, we extract source data, and load it to field data (real estate, finance, etc.), and service it using Landbook.

Spacewalk creates data pipelines for flexibility. In data pipelines, there are a variety of development entities (DS, DE) that develop Tasks. Each task has different libraries and associated dependencies required to run. So, container-based data pipelines were used to provide a stable environment and process to distribute and test tasks. In addition, due to the increase in service products and source data, the workflow and number of tasks are increasing, so it was necessary to create an expandable computer resource.

A Q&A session followed the lecture with real-time questions and questions received in advance. The speaker corresponding to the topic of the question resolved the curiosity of the participants. Spacewalk gave explanations and advice on topics from how startup culture can settle in a manufacturing business, whether data on value assessment of real estate locations exists, how Spacewalk’s technical aspects apply to business, to specific examples of big data pipelines.

We hope you learned about AI, Proptech, and startups from Spacewalk! It is unfortunate that we cannot meet face-to-face, but thank you for joining and communicating with Spacewalk online. Please look forward to June’s Startup-ting 🙂

August 2019 KAIST Startup Awards Review

Who are this year’s Startup Teams?

KAIST provides a variety of startup programs to support entrepreneurship initiatives and student startup teams. There are approximately 1800 KAIST-born startups, and of these there are notably Naver, Nexon, Idis, InBody, etc. that are leading firms in their industries in Korea. We believe that this an outcome founded on KAIST’s mission to  promote and nurture scientists to contribute to South Korean economy and development based on theoretical and practical efforts. ‘2019 KAIST Startup Awards’ is founded upon KAIST’s philosophy that creating value to promote science and technology-based startup culture. Every year, it is our goal to promote and support KAIST startup teams and startup culture at KAIST. KAIST Alumni Association financially supports rewards to outstanding startup teams, including money rewards and CES attendance.

Who were the participating teams?

2019 KAIST Startup Awards participants are currently enrolled or graduated KAIST individuals and teams whose business license has been registered within the last 3 years. The program was advertised starting from early June and took registration until July 12th. We received registration from 35 student startup teams and 17 alumni teams for a total of 52 registrations. In terms of departments, we received 30 registrations from the KAIST Business School, 17 from Engineering Schools, 4 from College of Liberal Arts and Convergence Science, and 1 from Natural Sciences Schools.

Selection Process and Procedure

2019 KAIST Startup Awards invited 12 senior entrepreneurs, investors and experts as judging panel members, and executed a round of application review followed by presentation evaluation. Applications were reviewed based on creativity, feasibility and business potential, and 15 teams were selected. Presentations were evaluated based on motivation, business development competencies, business feasibility and business plan, and final 10 teams were selected. For fairness, scores from investors involved in investment activities with any of the participants were excluded from final score count. In addition, presentations were conducted in an open-to-public setting to calibrate the presentation environment, and each team presented a total of three times to receive a variety of feedback. The program will continue to try new evaluation methods in the future.

Who was the anticipated first place?

This year’s KAIST Startup Awards awarded one grand prize, 3 top prizes, 6 excellence prizes and 10 runner-up prizes. Grand prize was awarded to Animal Industry Data Korea (AID Korea) who presented livestock healthcare solution, and top prizes were awarded to TEEware, MORAI and Glorang. Excellence prizes were awarded to Heybit, HBSmith, ReDWit, Deepscent, Bunyoung, and ALTIX. We sincerely congratulate the winners, and we wish the best for their future.

How were winning teams rewarded?

The 10 final awardees were rewarded up to 10,000,000 KRW and opportunity to attend CES in the United States as well as investment and mentoring opportunities. On November 19th, there will be a network event and an award ceremony that includes a speech from KAIST alumni entrepreneur, previous KAIST Awards winners mentioning, and introduction to CES attendance and missions. CES attendance takes place in January 2020, followed by New Year’s Greeting Ceremony for the final winners.

[Interview] MindLogic Internship ‘Working at a Startup’

KAIST Startup-ting is an opportunity for KAIST students interested in startups and startups that are recruiting to meet each other. Students not only learn about startups, but also learn the importance of hands-on experience. Startups, on the other hand, can have a more personal experience with students to express their companies’ strengths and merits and also to learn about students’ question and concerns.

MindLogic is one of the first startups to participate in KAIST Startup-ting, and recruited three summer interns. We met with MindLogic CEOs and the KAIST student interns.

Unlike interning at a large firm, there are advantages to gaining experience at a startup. We explore these advantages via interview with student interns at MindLogic.

First, we will hear from MindLogic CEOs.

What did you think of KAIST Startup-ting?

CEO Jinwook Kim: KAIST Startup-ting was a great opportunity. We were able to introduce our company MindLogic to students at KAIST Startup-ting, and we were able to meet KAIST students that would’ve been otherwise difficult. Through KAIST Startup-ting, over 10 students applied for internship positions, with a 3:1 competitive ratio. Thank you for the opportunity for us to meet great intern candidates.

CEO Yong-woo Kim: Students who attended KAIST Startup-ting are highly motivated to learn and to be excellent. Thanks to them, we were able to reach our R&D goals earlier than originally scheduled.

How would you describe KAIST Startup-ting in one phrase?

KAIST Startup-ting is an opportunity to meet highly talented students, and we recommend that you attend the event with an internship program prepared. Startups often use this as a way to promote their internship programs. MindLogic is always open to new opportunities through KAIST Startup-ting. I would like to recommend KAIST Startup-ting for startups that are having difficulties recruiting new talents.

Interning at a Startup

After speaking with the two CEOs, we met with the three KAIST students interning at MindLogic. In general, the students expressed that they enjoyed gaining experiences that differ from their classes and school work.

The three interns are Bio & Brain Engineering Class of 2019, Industrial & Systems Engineering Class of 2018, and Electrical Engineering Class of 2021.

Could you introduce yourself and your role at MindLogic?

Intern 1: Hello, my name is HyungGyu Song, and I am Bio and Brain Engineering student, class of 2019. I applied to the internship at MindLogic through KAIST Startup-ting, and my current task is to develop a deep learning model that converts human-derived text to voice-speech. It is my goal to develop this model quickly to apply to Google Assistant. I’m also focusing on making sound quality and speed.

Intern 2: Hi, my name is Yoonsuk Lee, and I am Industrial & Systems Engineering student, Class of 2018. I am working on the same project as HyungGyu.

Intern 3: I am Jaemin Kim, and I am Electrical Engineering student, Class of 2021. I joined 2 weeks later than the other interns, and I am working as a back-end developer. I am working on web/app solution to assist employees with important training modules. I am enrolled in a long-term internship program, and I am yet to decide the next course of direction.

What was your motivation for interning at MindLogic?

Intern 1: I learned about MindLogic through KAIST Startup-ting, and I decided to apply to their internship program because I had been interested in deep learning and voice-speech processing.

Intern 2,3: We learned about MindLogic through the KE Network, and after looking into MindLogic for some time, we applied to their internship program through KAIST Startup-ting.

How would you describe your experience as an intern working at a startup?

The three students mentioned that one of the outstanding part of their internship experience was the systematic working environment. The two CEOs are former consultants, and this may have had an impact on the operations system in place. There was a to-do-list created and ready on the first day, and every task was well-distribute and segmented towards a specific goal.

Intern 1: I had been learning about and had been familiar with the startup working environment since I always had an interest in startups. I have interned at medium-sized firms, but this internship experience at MindLogic was definitely different. My internship experience last winter involved tasks that were irrelevant to the actual service development, and my work did not seem to have important impact. However, in a startup environment, I was assigned to a short-term project and the I felt that my work had clear contribution towards a goal. It was also exciting to see myself grow, and unforeseen long days did not feel like a burden.

Intern 2: Working at MindLogic was not just different from experiences gained at medium and large-size firms. MindLogic had a very systematic structure in place, and every meeting felt like a mentor-mentee meeting where the employees could learn from the CEOs.

Intern 3: Working at MindLogic was very different from my working experiences in a lab. Generally, the operational tasks could be similar but the web/app development is directly correlated with the company’s service. It could be said that MindLogic adapts a timeline like that used in consulting firms, and also embodies features of a startup like flexibility.

The interns unanimously described MindLogic to be flexible and systematic. It is our wish that the students’ internship experience gained at startups will be valuable in their future endeavors.

Could you describe something positive that you gained by the time the internship came to an end?

One of the most prominent positive feedback was related to the hands-on experience. Most internship experiences are probably described to be an important experience, but interning at a startup was exceptionally so based on the fact that the students were able to see how their coursework involving deep learning models are applied in a real-world service setting. One intern described that he became interested in working at a startup upon graduation although he had his mind set on graduate school before working at MindLogic.

Students could freely decide their internship duration at startups. Two students worked as summer interns, and one student is working as a long-term intern. One of the greatest perk is that since their contract period is not absolute, the interns could negotiate their internship duration. Also they could explore their potentials freely within the flexible startup environment. Startups offer an experience working side-by-side with teams developing services for the “real world”, and students can gain hands-on experiences that cannot be gained solely through their college classes. Interns expressed gratitude for their internship opportunities that they gained through KAIST Startup-ting, and expressed their wishes for more students to participate in the program in the future.

Lastly, what are some of the improvements that could be made to KAIST Startup-ting?

KAIST Startup-ting was very meaningful in that students could learn about startups they had not had exposure to before. KAIST Startup-ting was advertised through posters, web portal, emails, etc. so that students could easily access information about the program. It was mentioned that if KAIST Startup-ting could be coupled with school credits, more students may express interests and participate in the program.

After speaking to the student interns, it was clear that the perception of startups and their affinity to them have changed. We wish the best to MindLogic and the student interns.

KAIST Startup-ting Preview Afterthoughts

We’ve never seen an event like this before.

We held a total of three KAIST Startup-ting Preview sessions with startup personnels in Pangyo and Daejeon.

What is KAIST Startup-ting? What was this event for? It was to gather startup personnels who expressed interests in participating in KAIST Startup-ting. Even if you missed the Preview events, you can still participate in KAIST Startup-ting.

Let’s now discuss what KAIST Startup-ting is about.

KAIST Startup-ting is a place for KAIST students and startups to freely discuss things they were curious about, and share information that are useful to each side. Startups and students also have an opportunity to create programs that benefit each other. It is Startup KAIST’s goal to create a co-existing environment and culture for startups and students. Startup KAIST supports students and opportunities to meet with startups at regional centers (Pangyo, Daejeon, Yangjae).

Startups need good people. However, the way they find the people they need is different from the usual recruiting methods. It’s not about career fairs and sports complexes. Startups also need to change – they must pursue different ways to gain interests and embrace their unique startup culture. From product release to recruiting, startups must highlight their strengths in order to gain attention.

Sometimes startups demonstrate their growth potentials through a combination of internship and mentorship (Men-ternship) instead of the usual company workshops or internship programs. Startups can unfold synergy with students when they can make connections to students’ interests (student clubs, field of studies, etc.).

In conclusion, startups need a different approach. That’s why we prepared KAIST Startup-ting. We hope that this is an opportunity for startups and talented individuals to meet and learn about each other. We anticipate and appreciate your interests. KAIST Startup-ting is currently accepting registration.