Revolution

Type

Venture Capital

Status

Active

Location

Washington, United States

Total investments

280

Average round size

15M

Portfolio companies

213

Rounds per year

14.74

Lead investments

31

Follow on index

0.23

Exits

42

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesFinTechInformation TechnologyArtificial IntelligenceHealth CareSaaSMarketplace

Summary

In 2005 was created Revolution, which is appeared as VC. 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 Washington.

The increased amount of exits for fund were in 2016. The typical startup value when the investment from Revolution is more than 1 billion dollars. The fund is constantly included in 7-12 investment rounds annually. This Revolution works on 11 percentage points less the average amount of lead investments comparing to the other organizations. Considering the real fund results, this VC is 14 percentage points more often commits exit comparing to other organizations. The common things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2018. Despite it in 2019 the fund had an activity.

The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Revolution, startups are often financed by Grotech Ventures, SWaN & Legend Venture Partners, iNovia Capital. The meaningful sponsors for the fund in investment in the same round are SWaN & Legend Venture Partners, T. Rowe Price, iNovia Capital. In the next rounds fund is usually obtained by New Enterprise Associates, SWaN & Legend Venture Partners, Grotech Ventures.

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 fund has no exact preference in a number of founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. Among the most popular portfolio startups of the fund, we may highlight LivingSocial, Uptake, Tempus Labs. Among the most successful fund investment fields, there are Mobile, E-Commerce.

This organization was formed by Donn Davis, Steve Case, Tige Savage. Besides them, we counted 14 critical employees of this fund in our database.

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Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
GeneralistPre-SeedSeedSeries ASeries B Show 1 more
Geo focus
United States
Check size
1M — 50M

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Investments analytics

Last fund

Fund size
USD 500000000
Fund raised date
2020-11-17

Analytics

Total investments
280
Lead investments
31
Exits
42
Rounds per year
14.74
Follow on index
0.23
Investments by industry
  • Software (71)
  • E-Commerce (37)
  • Information Technology (33)
  • Health Care (32)
  • SaaS (30)
  • Show 270 more
Investments by region
  • United States (264)
  • Brazil (2)
  • Switzerland (1)
  • Canada (4)
  • United Kingdom (1)
  • Show 2 more
Peak activity year
2018
Number of Unicorns
10
Number of Decacorns
10
Number of Minotaurs
2

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Quantitative data

Avg. startup age at the time of investment
9
Avg. valuation at time of investment
138M
Group Appearance index
0.99
Avg. company exit year
7
Avg. multiplicator
0.59
Strategy success index
0.90

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Daupler 08 Jul 2021 Software, Information Technology, Robotics, GovTech, CRM Early Stage Venture 4M United States, Missouri, Kansas City
Schola 11 Feb 2021 Education, Marketing, Secondary Education Seed 2M United States, Massachusetts, Boston
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.