Infinity Venture Fund

Total investments

2

Average round size

2M

Portfolio companies

2

Exits

1

Stages of investment
Private EquityLate Stage Venture
Areas of investment
E-CommerceSaaSEnterprise SoftwareLifestyleCloud ComputingMarketingNewsSocial MediaAdvertisingBilling

Summary

The standard case for the fund is to invest in rounds with 2-3 partakers. The meaningful sponsors for the fund in investment in the same round are SeedFund.in, Nippon Venture Capital, Globis Capital Partners. In the next rounds fund is usually obtained by Net World Sports.

Among the most popular fund investment industries, there are Cloud Computing, Advertising. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Afaqs!, Bplats. The fund has no exact preference in a number of founders of portfolio startups.

The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is generally included in less than 2 deals every year. The important activity for fund was in 2013.

Show more

Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • News (1)
  • Advertising (1)
  • Marketing (1)
  • Lifestyle (1)
  • Social Media (1)
  • Show 7 more
Investments by region
  • United States (1)
  • Japan (1)
Peak activity year
2008

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
18
Group Appearance index
1.00

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
Bplats 01 Jun 2008 Logistics, Software, SaaS, Enterprise Software, Cloud Computing, Billing Early Stage Venture 1M Japan, Chiyoda
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.