Blue Cloud Ventures

Type

Venture Capital

Status

Active

Location

London, United Kingdom

Total investments

48

Average round size

48M

Portfolio companies

39

Rounds per year

4.00

Lead investments

6

Follow on index

0.19

Exits

16

Stages of investment
Late Stage Venture
Areas of investment
InfrastructureE-CommerceInternetSoftwareAnalyticsInformation TechnologyMarketing AutomationSaaSEnterprise SoftwareCloud Computing

Summary

Blue Cloud Ventures appeared to be the VC, which was created in 2012. The main department of described VC is located in the New York. The venture was found in North America in United States.

The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the Blue Cloud Ventures, startups are often financed by FirstMark, Bain Capital Ventures, CRV. The meaningful sponsors for the fund in investment in the same round are Bain Capital Ventures, Tenaya Capital, CRV. In the next rounds fund is usually obtained by Volition Capital, Verizon Ventures, Tenaya Capital.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. We can highlight the next thriving fund investment areas, such as Information Technology, Enterprise Software. 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 needs to be aged 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight SHIFT, Doctor On Demand, OneLogin.

The fund was created by Joel Lou, Mir Arif, Rami Rahal. We also calculated 4 valuable employees in our database.

The typical startup value when the investment from Blue Cloud Ventures is 100-500 millions dollars. Comparing to the other companies, this Blue Cloud Ventures performs on 2 percentage points less the average number of lead investments. The top activity for fund was in 2016. The increased amount of exits for fund were in 2019. Speaking about the real fund results, this VC is 3 percentage points less often commits exit comparing to other organizations. The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in 2-6 deals every year.

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Investor highlights

Industry focus
B2B/EnterpriseCloud/Infrastructure
Check size
5M — 30M

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Investments analytics

Last fund

Fund size
USD 350000000
Fund raised date
2021-12-01

Analytics

Total investments
48
Lead investments
6
Exits
16
Rounds per year
4.00
Follow on index
0.19
Investments by industry
  • Software (38)
  • Enterprise Software (21)
  • SaaS (20)
  • Information Technology (11)
  • Cloud Computing (9)
  • Show 92 more
Investments by region
  • United States (39)
  • Canada (4)
  • Australia (1)
  • United Kingdom (1)
  • Denmark (2)
Peak activity year
2016
Number of Unicorns
7
Number of Decacorns
7

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Quantitative data

Avg. startup age at the time of investment
14
Avg. valuation at time of investment
508M
Group Appearance index
0.90
Avg. company exit year
15
Avg. multiplicator
1.08
Strategy success index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Crisp 22 Feb 2024 Software, Food and Beverage, SaaS Early Stage Venture 20M United States, New York, New York
Evident 09 May 2019 Internet, Software, Cyber Security, Security, InsurTech, Identity Management Early Stage Venture 20M United States, Atlanta, Georgia
Physics Wallah 07 Jun 2022 E-Learning, EdTech, Education, Tutoring Early Stage Venture 100M Uttar Pradesh, Noida, India
Wisdom 11 Jul 2018 Automotive, Software, Analytics, Product Management, Productivity Tools, Navigation, Web Development, Customer Service, A/B Testing, Product Research, Technical Support, GPS, Usability Testing Seed 0 Canada, Vancouver, British Columbia

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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.