DataMirror

Total investments

3

Average round size

16M

Portfolio companies

1

Rounds per year

0.11

Follow on index

0.67

Exits

1

Areas of investment
Big DataData Visualization

Summary

In 1993 was created DataMirror, which is appeared as Corporate Investor. The fund was located in North America if to be more exact in Canada. The main department of described Corporate Investor is located in the Markham.

This organization was formed by Nigel Stokes.

The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the DataMirror, startups are often financed by AVI Capital, JK&B Capital, Aspen Ventures. The meaningful sponsors for the fund in investment in the same round are Aspen Ventures, AVI Capital, JK&B Capital. In the next rounds fund is usually obtained by JK&B Capital, AVI Capital, Goldman Sachs.

Moreover, a startup needs to be at the age of 1 and less years to get the investment from the fund. Among the most popular fund investment industries, there are Data Visualization, Analytics. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Among the various public portfolio startups of the fund, we may underline PointBase

The increased amount of exits for fund were in 2003. The fund is constantly included in less than 2 investment rounds annually. Opposing the other organizations, this DataMirror works on 4 percentage points more the average amount of lead investments. The top activity for fund was in 2000. Deals in the range of 10 - 50 millions dollars are the general things for fund.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Exits
1
Rounds per year
0.11
Follow on index
0.67
Investments by industry
  • Big Data (3)
  • Data Visualization (3)
Investments by region
  • United States (3)
Peak activity year
2000

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Quantitative data

Avg. startup age at the time of investment
23
Group Appearance index
1.00
Avg. company exit year
5

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
PointBase 26 Apr 1999 Big Data, Data Visualization Early Stage Venture 3M United States, California, Mountain View
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.