ANZi Ventures

Total investments

12

Average round size

61M

Portfolio companies

6

Rounds per year

2.40

Lead investments

3

Follow on index

0.50

Stages of investment
Late Stage Venture
Areas of investment
Financial SoftwareSoftwareFinancial ServicesFinTechInformation TechnologyPaymentsFinanceAppsSecurityBanking

Summary

Besides, a startup needs to be aged 4-5 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Financial Services, Banking. Among the most popular portfolio startups of the fund, we may highlight Valiant.

The typical case for the fund is to invest in rounds with 5 participants. Despite the ANZi Ventures, startups are often financed by Reinventure Group, H2 Ventures, Carthona Capital. The meaningful sponsors for the fund in investment in the same round are Salesforce Ventures, Reinventure Group, Full Circle Venture Capital.

The fund is constantly included in less than 2 deals per year. Deals in the range of 10 - 50 millions dollars are the general things for fund. The important activity for fund was in 2019.

We also calculated 1 valuable employee in our database.

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Investments analytics

Analytics

Total investments
12
Lead investments
3
Rounds per year
2.40
Follow on index
0.50
Investments by industry
  • FinTech (11)
  • Financial Services (6)
  • Finance (6)
  • Payments (6)
  • Financial Software (5)
  • Show 16 more
Investments by region
  • Australia (11)
  • New Zealand (1)
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
912M
Group Appearance index
0.92

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
DataMesh Group 21 Feb 2023 FinTech, IT Infrastructure Early Stage Venture 21M

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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.