Kakao Brain
VC Fund
Seongnam, South Korea
Kakao Brain is a VC fund in Seongnam focused on Software and Information Technology. Developing key technologies regarding AI and seek various ways to improve technologies, service and business
- Total investments:
- 6
- Last investment:
- Lead investor:
- 17%
Last updated:
For AI agents: llms.txt
Industries Kakao Brain invests in
Stages Kakao Brain invests in
Countries Kakao Brain invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
2 more contacts available
Round size
- Series A
- $3M–$10M
Investment Focus
Industry
- Software 2 (33%)
- Information Technology 2 (33%)
- Artificial Intelligence 2 (33%)
- EdTech 1 (17%)
- Medical 1 (17%)
Stage
- Series A 4 (67%)
- Pre-Seed 1 (17%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Daemyung Jang
Software Engineer
|
Software Engineer | Total investments: 0 | Find email | |
Hunchul Park
Software Engineer
|
Software Engineer | Total investments: 0 | Find email | |
|
Il Kim
CEO
|
CEO | Total investments: 1 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Mediasphere
|
Mediasphere is a revenue diversification platform that offers creators the ability to sell subscriptions, memberships, and online courses. | Pre-Seed / Aug 09, 2023 | |
RECON Labs
|
RECON Labs software creates 3D models and AR content based on photos/videos. | $4.4M / Series A / May 02, 2022 | |
Galux
|
Galux provides molecular design technology focusing on discovering and developing novel drugs for incurable and rare diseases using its AI-based drug design platform technologies. | $4.2M / Series A / Dec 16, 2021 | |
Skelter Labs
|
Established in 2015, Skelter Labs develops AI technologies in Conversation, Speech, Vision and Context recognition. Our mission is to innovate machine intelligence for understanding, assisting and improving daily lives, anytime and anywhere. Skelter Labs’ core technology lies with NLU (Natural Language Understanding), where we utilize machinelearning to reveal text meaning and structure. Through our technology, our end-client can extract relevant information from the context of a conversation. Our trained model can answer specific user questions, classify content, support virtual assistants, and much more. Our AIQ.TALK Chatbot demonstrates higher accuracy compared to other engines, especially in the Korean language, with only a small amount of training data compared to competing vendors. Skelter Labs’ product lineup includes: AIQ.TALK Chatbot: AI-based builder for businesses that seek to deploy a virtual customer service; AIQ.TALK STT: Engine that converts voice to text by applying advanced machine learning techniques; AIQ.TALK TTS: Text-to-speech product that can effectively generate human-sounding speech; AIQ.AWARE: Utilize mobile signals to provide deep consumer insights for AdTech and MarTech. | $10M / Series A / Nov 05, 2018 | |
|
Skelter Labs
|
Established in 2015, Skelter Labs develops AI technologies in Conversation, Speech, Vision and Context recognition. Our mission is to innovate machine intelligence for understanding, assisting and improving daily lives, anytime and anywhere. Skelter Labs’ core technology lies with NLU (Natural Language Understanding), where we utilize machinelearning to reveal text meaning and structure. Through our technology, our end-client can extract relevant information from the context of a conversation. Our trained model can answer specific user questions, classify content, support virtual assistants, and much more. Our AIQ.TALK Chatbot demonstrates higher accuracy compared to other engines, especially in the Korean language, with only a small amount of training data compared to competing vendors. Skelter Labs’ product lineup includes: AIQ.TALK Chatbot: AI-based builder for businesses that seek to deploy a virtual customer service; AIQ.TALK STT: Engine that converts voice to text by applying advanced machine learning techniques; AIQ.TALK TTS: Text-to-speech product that can effectively generate human-sounding speech; AIQ.AWARE: Utilize mobile signals to provide deep consumer insights for AdTech and MarTech. | Series A / Feb 06, 2018 | |
LUXROBO
|
LUXROBO is a venture company specializing in robotics. Based on its robot technology, LUXROBO creates products that make electrical appliances smarter and easier to use. The company develops educational robots, IoT platform, and modular robotics kit. It also provides technology consulting services. | $3M / Series A / Jun 07, 2017 |
Co-Investors
Access 48,091 investors
822 industries, 177 countries. Updated daily. Emails and phones included.
Browse database — It's Free!
Find investors for your startup
Search 48,091 investors by industry and country. Emails and phones included.
Similar Investors
Similar industry
Similar stage
Featured in Investor Lists
Recommended lists
FAQ
What does Kakao Brain invest in?
Kakao Brain invests primarily in Software, Information Technology and Artificial Intelligence startups, most often at Series A and Pre-Seed stage. Most of the 6 investments tracked by Shizune back companies in South Korea. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Kakao Brain's check size?
Kakao Brain typically joins rounds of $3M–$10M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Kakao Brain participates in.
How do I contact Kakao Brain?
Public channels for Kakao Brain include LinkedIn, the website linked on this profile and Facebook. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Kakao Brain?
The team at Kakao Brain includes Daemyung Jang (Software Engineer), Hunchul Park (Software Engineer) and Il Kim (CEO). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
Contact your first 100 investors today
Find who invests in your industry, stage, and country. Download investor list with emails in 5 minutes.
Find investors — It's Free!
Continue with Google
Continue with LinkedIn
