Experian

Total investments

23

Average round size

9M

Portfolio companies

21

Rounds per year

0.52

Lead investments

7

Follow on index

0.09

Exits

2

Areas of investment
E-CommerceInternetFinancial ServicesFinTechInformation TechnologyMobileFinanceBig DataInsuranceAdvertising

Summary

Experian is the famous Corporate Investor, which was founded in 1980. The company was established in North America in United States. The main department of described Corporate Investor is located in the Costa Mesa.

The increased amount of exits for fund were in 2018. The fund is generally included in less than 2 deals every year. This Experian works on 20 percentage points less the average amount of lead investments comparing to the other organizations. Deals in the range of 10 - 50 millions dollars are the general things for fund. The real fund results show that this Corporate Investor is 25 percentage points more often commits exit comparing to other companies. The typical startup value when the investment from Experian is 10-50 millions dollars. The important activity for fund was in 2018. Despite it in 2019 the fund had an activity.

The fund has no specific favorite in a number of founders of portfolio startups. If startup sums 4 of the founder, the chance for it to be financed is low. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular fund investment industries, there are Data Integration, Finance. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline PlaceIQ, Finicity, Canopy

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Experian, startups are often financed by Kleiner Perkins, Chiratae Ventures, Tencent Holdings. The meaningful sponsors for the fund in investment in the same round are Tencent Holdings, Kleiner Perkins, Experian Ventures. In the next rounds fund is usually obtained by Kleiner Perkins, ZenStone Venture Capital, Tencent Holdings.

We also calculated 9 valuable employees in our database.

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Investments analytics

Analytics

Total investments
23
Lead investments
7
Exits
2
Rounds per year
0.52
Follow on index
0.09
Investments by industry
  • FinTech (11)
  • Financial Services (11)
  • Finance (6)
  • Insurance (5)
  • Mobile (4)
  • Show 45 more
Investments by region
  • United States (10)
  • United Kingdom (7)
  • Singapore (1)
  • Iceland (1)
  • Malaysia (1)
  • Show 2 more
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
12
Avg. valuation at time of investment
71M
Group Appearance index
0.70
Avg. company exit year
16
Avg. multiplicator
9.46
Strategy success index
0.30

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Canopy 27 Jun 2019 Financial Services, FinTech, Insurance Seed 4M England, London, United Kingdom
Escreo 01 May 2015 Collaboration, Product Design, Interior Design, Art Seed 29K Sofia-City, Sofia, Bulgaria
Finicity 07 Dec 2016 Financial Services, FinTech, Payments, Big Data, Cloud Data Services, Data Integration, Banking, Data Visualization Early Stage Venture 42M Salt Lake City, Utah, United States
Spentys 01 Jun 2018 Health Care Seed Brussels-Capital, City of Brussels, Belgium
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.