DRW Venture Capital

Type

Venture Capital

Location

Chicago, United States

Total investments

39

Average round size

27M

Portfolio companies

31

Rounds per year

3.90

Lead investments

3

Follow on index

0.18

Exits

4

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologyPaymentsFinanceCryptocurrencyBlockchainAndroidFraud Detection

Summary

DRW Venture Capital appeared to be the VC, which was created in 2014. The fund was located in North America if to be more exact in United States. The leading representative office of defined VC is situated in the Chicago.

The fund is generally included in 2-6 deals every year. The typical startup value when the investment from DRW Venture Capital is 50-100 millions dollars. The high activity for fund was in 2015. Considering the real fund results, this VC is 11 percentage points less often commits exit comparing to other organizations. The higher amount of exits for fund were in 2019. Deals in the range of 10 - 50 millions dollars are the general things for fund. Comparing to the other companies, this DRW Venture Capital performs on 15 percentage points less the average number of lead investments.

Among the most popular portfolio startups of the fund, we may highlight RedSeal, Final, SpiderOak. We can highlight the next thriving fund investment areas, such as Analytics, Blockchain. The fund has no exact preference in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

The current fund was established by Don Wilson. The overall number of key employees were 4.

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the DRW Venture Capital, startups are often financed by Triangle Peak Partners, Techstars, RRE Ventures. The meaningful sponsors for the fund in investment in the same round are Pritzker Group Venture Capital, Pivot Investment Partners, MATH Venture Partners. In the next rounds fund is usually obtained by Pritzker Group Venture Capital, Optum Ventures, GE Ventures.

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Investor highlights

Industry focus
FintechB2B/EnterpriseBlockchain/Crypto/Web3Proptech/Real Estate
Stage focus
Generalist

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Investments analytics

Analytics

Total investments
39
Lead investments
3
Exits
4
Rounds per year
3.90
Follow on index
0.18
Investments by industry
  • FinTech (16)
  • Financial Services (14)
  • Software (8)
  • Finance (8)
  • Blockchain (7)
  • Show 70 more
Investments by region
  • United States (31)
  • United Kingdom (2)
  • Netherlands (1)
  • Finland (1)
  • Israel (3)
Peak activity year
2015
Number of Unicorns
2
Number of Decacorns
2
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
373M
Group Appearance index
0.95
Avg. company exit year
6
Avg. multiplicator
7.30
Strategy success index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
AiiNTENSE 01 Jan 2020 Artificial Intelligence, Health Care, Health Diagnostics Seed 70K Ile-de-France, Évry-Courcouronnes, France
Eventus Systems 08 Sep 2021 Internet, Software, Financial Services, Information Technology Early Stage Venture 30M United States, Texas, Austin
Nasdaq Private Market 08 Feb 2024 Financial Services, FinTech, Finance, Financial Exchanges, Stock Exchanges Early Stage Venture 62M United States, California, San Francisco
Rhenovia Pharma 12 Feb 2014 Biotechnology, Health Diagnostics, Therapeutics Early Stage Venture 637K France, Grand Est, Mulhouse
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.