IDP Foundation

Total investments

1

Average round size

9M

Portfolio companies

1

Rounds per year

0.08

Areas of investment
EdTechEducationKnowledge Management

Summary

In 2008 was created IDP Foundation, which is appeared as Corporate Investor. The venture was found in North America in United States. The leading representative office of defined Corporate Investor is situated in the Chicago.

The top activity for fund was in 2018. The usual things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

The fund was created by Liesel Simmons.

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 Knowledge Management, Analytics. Among the most popular portfolio startups of the fund, we may highlight Edovo. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.

The standard case for the fund is to invest in rounds with 8 partakers. Despite the IDP Foundation, startups are often financed by Twilio, Kapor Capital, Impact Engine. The meaningful sponsors for the fund in investment in the same round are SustainVC, Series Change Investment, LuminaFoundation.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.08
Investments by industry
  • Education (1)
  • Knowledge Management (1)
  • EdTech (1)
Investments by region
  • United States (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Edovo 06 Apr 2018 EdTech, Education, Knowledge Management Early Stage Venture 9M United States, Illinois, Chicago
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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.