Silver Lake

Menlo Park, United States
Venture Capital
Active
Total investments

145

Average round size

1B

Portfolio companies

108

Rounds per year

5.80

Lead investments

34

Follow on index

0.25

Exits

44

Stages of investment
Private EquityLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesFinTechInformation TechnologyMobileHealth CareSaaSEnterprise Software

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Geo focus
AlbaniaAustriaBahrain Show 75 more

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Investments analytics

Last fund

Fund size
USD 20500000
Fund raised date
2024-05-08

Analytics

Total investments
145
Lead investments
34
Exits
44
Rounds per year
5.80
Follow on index
0.25
Investments by industry
  • Software (39)
  • Information Technology (25)
  • Enterprise Software (23)
  • SaaS (21)
  • Internet (19)
  • Show 187 more
Investments by region
  • United States (99)
  • China (11)
  • India (10)
  • United Kingdom (3)
  • United Arab Emirates (2)
  • Show 13 more
Peak activity year
2021
Number of Unicorns
30
Number of Decacorns
46
Number of Minotaurs
31

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Quantitative data

Avg. startup age at the time of investment
20
Avg. valuation at time of investment
5B
Group Appearance index
0.69
Avg. company exit year
17
Avg. multiplicator
2.09
Strategy success index
1.00

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Aaptiv01 Feb 2016Application Software, Educational and Training Services (B2C), Mobile, Payments, Fitness, Health CareSeed450KUnited States, New York, New York
Ant Group08 Jun 2018E-Commerce, Internet, Financial Services, FinTech, Payments, Banking, Wealth ManagementLate Stage Venture14BZhejiang, Shangcheng District, China
SenseTime31 May 2018Software, Artificial Intelligence, Machine Learning, Computer Vision, Image Recognition, Facial RecognitionLate Stage Venture620MBeijing, Dongcheng District, China

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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.