Hakuodo DY Ventures

Total investments

52

Average round size

7M

Portfolio companies

45

Rounds per year

10.40

Lead investments

2

Follow on index

0.13

Areas of investment
E-CommerceInternetSoftwareInformation TechnologyArtificial IntelligenceHealth CareMarketingMedia and EntertainmentService IndustryTask Management

Summary

The high activity for fund was in 2019. The fund is constantly included in 2-6 deals per year. The common things for fund are deals in the range of 1 - 5 millions dollars.

The standard case for the fund is to invest in rounds with 4 partakers. The meaningful sponsors for the fund in investment in the same round are Sony Innovation Fund, Sony Financial Ventures, Salesforce Ventures.

Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Idein. Among the most successful fund investment fields, there are Machine Learning, Developer Platform.

Show more

Investments analytics

Analytics

Total investments
52
Lead investments
2
Rounds per year
10.40
Follow on index
0.13
Investments by industry
  • Health Care (7)
  • Software (6)
  • Task Management (6)
  • Media and Entertainment (6)
  • Marketing (5)
  • Show 81 more
Investments by region
  • Japan (50)
  • United States (1)
  • Singapore (1)
Peak activity year
2021

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
0.88

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Atlast health 13 Jun 2024 Early Stage Venture Tokyo, Kantō, Japan
Mellow Japan 28 Jun 2022 Food and Beverage Early Stage Venture 7M Chiyoda, 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.