Whitestone Investment Fund

Total investments

3

Average round size

916K

Portfolio companies

3

Stages of investment
SeedEarly Stage Venture
Areas of investment
PublishingE-CommerceRetail TechnologySaaSEnterprise SoftwareManufacturingVideoAdvertisingE-Commerce PlatformsContent Creators

Summary

Besides them, we counted 2 critical employees of this fund in our database.

Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight OurCart, Furious Corp. Among the most popular fund investment industries, there are Retail Technology, Software.

The top activity for fund was in 2015. Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is constantly included in less than 2 investment rounds annually.

The standard case for the fund is to invest in rounds with 6-7 partakers. Despite the Whitestone Investment Fund, startups are often financed by Nielsen Innovate, Taj Chahal, On Grid Ventures. The meaningful sponsors for the fund in investment in the same round are Nielsen Innovate, Taj Chahal, Roni Michaely. In the next rounds fund is usually obtained by Stadia Ventures.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Investments by industry
  • Retail Technology (2)
  • SaaS (1)
  • Publishing (1)
  • Enterprise Software (1)
  • Advertising (1)
  • Show 14 more
Investments by region
  • Israel (2)
  • United States (1)
Peak activity year
2015

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
33M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
VNTANA 28 Sep 2015 E-Commerce, Software, Retail Technology, 3D Technology, Manufacturing, Real Time, Cloud Computing, Augmented Reality, E-Commerce Platforms, Content Creators Seed 750K United States, California, Los Angeles

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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.