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INTAGE Open Innovation Fund

Total investments

4

Average round size

11M

Portfolio companies

4

Areas of investment
SoftwareConsumer GoodsAnalyticsArtificial IntelligenceMachine LearningSocial Media AdvertisingAppsSocial MediaMedia and EntertainmentContent Creators

Summary

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Tamr, BitStar. Among the most popular fund investment industries, there are Data Integration, Social Media. The fund has no exact preference in some founders of portfolio startups.

The fund is constantly included in less than 2 investment rounds annually. Deals in the range of 10 - 50 millions dollars are the general things for fund. The high activity for fund was in 2018.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the INTAGE Open Innovation Fund, startups are often financed by New Enterprise Associates, GV, East Ventures. The meaningful sponsors for the fund in investment in the same round are SMBC Venture Capital, SBI Investment, Wright Flyer Live Entertainment. In the next rounds fund is usually obtained by TIS, SBI Investment, Pear Tree Partners.

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Investments analytics

Analytics

Total investments
4
Lead investments
0
Investments by industry
  • Machine Learning (2)
  • Consumer Goods (1)
  • Apps (1)
  • Artificial Intelligence (1)
  • Software (1)
  • Show 9 more
Investments by region
  • Japan (3)
  • United States (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
al+ 10 Oct 2017 Software, Analytics, Artificial Intelligence, Machine Learning Early Stage Venture 5M Chiba Prefecture, Tateyama, Japan
How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.