AutoWeb

Total investments

4

Average round size

1M

Portfolio companies

3

Rounds per year

0.15

Lead investments

1

Follow on index

0.25

Exits

1

Areas of investment
AutomotiveSoftwareArtificial IntelligenceMachine LearningEnterprise SoftwareMarketingAdvertising

Summary

In 1995 was created AutoWeb, which is appeared as Corporate Investor. The main office of represented Corporate Investor is situated in the Irvine. The venture was found in North America in United States.

The fund is constantly included in less than 2 investment rounds annually. When the investment is from AutoWeb the average startup value is 10-50 millions dollars. The important activity for fund was in 2013. The usual 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. Despite the AutoWeb, startups are often financed by TCV. The meaningful sponsors for the fund in investment in the same round are PeopleFund, Matias de Tezanos, Aka Capital.

This organization was formed by Pete Ellis.

Among the various public portfolio startups of the fund, we may underline AutoWeb, Inc. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. We can highlight the next thriving fund investment areas, such as Advertising, Automotive.

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Investments analytics

Analytics

Total investments
4
Lead investments
1
Exits
1
Rounds per year
0.15
Follow on index
0.25
Investments by industry
  • Advertising (1)
  • Marketing (1)
  • Automotive (1)
  • Enterprise Software (1)
  • Software (1)
  • Show 2 more
Investments by region
  • United States (1)
  • Vietnam (1)
Peak activity year
1998

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Quantitative data

Avg. startup age at the time of investment
17
Avg. valuation at time of investment
10M
Group Appearance index
0.25

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
AutoBot 03 May 1998 Seed
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.