Experian Ventures

Total investments

27

Average round size

12M

Portfolio companies

22

Rounds per year

3.38

Lead investments

7

Follow on index

0.15

Exits

3

Stages of investment
Early Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesFinTechFinanceMachine LearningPersonal FinanceMarketplaceInsurance

Summary

In 2016 was created Experian Ventures, which is appeared as VC. The venture was found in North America in United States. Experian Ventures seemed to be an CVC arrangement as part of the organization. The leading representative office of defined VC is situated in the San Francisco.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Experian Ventures, startups are often financed by Ribbit Capital, Mosaic Ventures, DN Capital. The meaningful sponsors for the fund in investment in the same round are Santander InnoVentures, Ribbit Capital, Mosaic Ventures. In the next rounds fund is usually obtained by Experian, Victor Koch, Santander InnoVentures.

This organization was formed by Alex Marquez. Besides them, we counted 8 critical employees of this fund in our database.

The real fund results show that this VC is 30 percentage points more often commits exit comparing to other companies. This Experian Ventures works on 15 percentage points less the average amount of lead investments comparing to the other organizations. The increased amount of exits for fund were in 2018. The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 10 - 50 millions dollars. When the investment is from Experian Ventures the average startup value is 100-500 millions dollars. The high activity for fund was in 2019.

The fund has no exact preference in some founders of portfolio startups. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the various public portfolio startups of the fund, we may underline Finicity, Canopy, Nav Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Finance, Credit.

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Investments analytics

Analytics

Total investments
27
Lead investments
7
Exits
3
Rounds per year
3.38
Follow on index
0.15
Investments by industry
  • FinTech (16)
  • Financial Services (9)
  • Finance (8)
  • Insurance (5)
  • Software (5)
  • Show 37 more
Investments by region
  • United States (13)
  • Brazil (2)
  • Singapore (3)
  • India (2)
  • Malaysia (1)
  • Show 5 more
Peak activity year
2018
Number of Decacorns
1
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
10
Avg. valuation at time of investment
585M
Group Appearance index
0.70
Avg. company exit year
10
Avg. multiplicator
0.45

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Palenca 01 Apr 2024 Software, Big Data, Computer Seed Distrito Federal, Mexico City, Mexico
Stackin' 28 May 2020 FinTech, Finance, Machine Learning, Messaging, Personal Finance Early Stage Venture 12M United States, California, Los Angeles
T4L 01 Jan 2020 Transportation Seed 1M United States, Florida, Naples
UTU Technologies 23 Apr 2018 Software, Information Technology, Information Services, Big Data, Blockchain, IaaS, Sharing Economy Seed Nairobi, Nairobi, Kenya

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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.