Adaptive Path

Total investments

1

Average round size

1M

Portfolio companies

1

Rounds per year

0.05

Exits

1

Areas of investment
CollaborationCustomer ServiceSocial CRM

Summary

Adaptive Path is the famous Corporate Investor, which was founded in 2001. The leading representative office of defined Corporate Investor is situated in the San Francisco. The venture was found in North America in United States.

For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the most popular fund investment industries, there are Customer Service, Collaboration. Among the most popular portfolio startups of the fund, we may highlight Get Satisfaction.

The top activity for fund was in 2007. The fund is generally included in less than 2 deals every year. Deals in the range of 1 - 5 millions dollars are the general things for fund. The higher amount of exits for fund were in 2015.

The typical case for the fund is to invest in rounds with 6 participants. The meaningful sponsors for the fund in investment in the same round are Oreilly AlphaTech Ventures, Mike Brown, Jeff Clavier. In the next rounds fund is usually obtained by Oreilly AlphaTech Ventures, First Round Capital, Uncork Capital.

The fund was created by Indi Young, Jesse James Garrett, Peter Merholz.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.05
Investments by industry
  • Social CRM (1)
  • Customer Service (1)
  • Collaboration (1)
Investments by region
  • United States (1)
Peak activity year
2007

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Quantitative data

Avg. startup age at the time of investment
14
Group Appearance index
1.00
Avg. company exit year
8

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Get Satisfaction 01 Sep 2007 Collaboration, Customer Service, Social CRM Seed 1M United States, California, San Francisco
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.