Coatue Management

Type

Venture Capital, Private equity

Status

Active

Location

New York, United States

Total investments

451

Average round size

229M

Portfolio companies

284

Rounds per year

18.04

Lead investments

74

Follow on index

0.36

Exits

24

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesFinTechInformation TechnologyArtificial IntelligenceMachine LearningSaaSEnterprise Software

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
SeedSeries A
Check size
500K — 10M

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Investments analytics

Last fund

Fund size
USD 3000000000
Fund raised date
2024-01-12

Analytics

Total investments
451
Lead investments
74
Exits
24
Rounds per year
18.04
Follow on index
0.36
Investments by industry
  • Software (162)
  • Information Technology (76)
  • FinTech (75)
  • Financial Services (69)
  • Artificial Intelligence (46)
  • Show 279 more
Investments by region
  • United States (299)
  • China (28)
  • Canada (7)
  • United Kingdom (19)
  • India (18)
  • Show 20 more
Peak activity year
2021
Number of Unicorns
99
Number of Decacorns
125
Number of Minotaurs
52

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
4B
Group Appearance index
0.96
Avg. company exit year
10
Avg. multiplicator
4.39
Strategy success index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Butterflies.AI 18 Jun 2024 Seed 4M United States, California, Santa Clara
Silverflow 16 Nov 2023 Software, Financial Services, FinTech, Information Technology Early Stage Venture 17M North Holland, Amsterdam, Netherlands
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.