J-Ventures

Type

Venture Capital

Status

Active

Location

Palo Alto, United States

Total investments

52

Average round size

7M

Portfolio companies

36

Rounds per year

6.50

Follow on index

0.31

Exits

2

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
SoftwareInformation TechnologyArtificial IntelligenceMachine LearningHealth CareSaaSAgTechPredictive AnalyticsFarmingSocial Impact

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
Seed
Geo focus
Generalist
Check size
250K — 1M

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Investments analytics

Analytics

Total investments
52
Lead investments
0
Exits
2
Rounds per year
6.50
Follow on index
0.31
Investments by industry
  • Software (17)
  • Machine Learning (14)
  • Health Care (13)
  • Artificial Intelligence (10)
  • Information Technology (10)
  • Show 85 more
Investments by region
  • United States (40)
  • Israel (11)
Peak activity year
2019
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
194M
Group Appearance index
0.46
Avg. company exit year
8
Avg. multiplicator
1.26
Strategy success index
0.40

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Hourly 21 Aug 2023 Financial Services, FinTech, Human Resources, InsurTech Early Stage Venture 27M United States, California, Palo Alto
Veev 01 Mar 2021 Real Estate, Building Material, Construction, Smart Building, Smart Home, Property Development Late Stage Venture United States, California

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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.