Sallyport Investments

Total investments

5

Average round size

29M

Portfolio companies

3

Rounds per year

0.50

Lead investments

1

Follow on index

0.40

Areas of investment
SoftwareAnalyticsArtificial IntelligenceSaaSEnterprise SoftwareHardwareCleanTechSustainabilityGreenTechSocial Impact

Summary

Sallyport Investments appeared to be the VC, which was created in 2012.

The usual cause for the fund is to invest in rounds with 6 partakers. Despite the Sallyport Investments, startups are often financed by Y Combinator, ZhenFund, T. Chen Fong. The meaningful sponsors for the fund in investment in the same round are ZhenFund, Y Combinator, Soma Capital.

We can highlight the next thriving fund investment areas, such as Software, Machine Learning. Among the most popular portfolio startups of the fund, we may highlight Validere. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund.

We also calculated 2 valuable employees in our database.

The usual things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in less than 2 investment rounds annually. The important activity for fund was in 2018.

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Investments analytics

Analytics

Total investments
5
Lead investments
1
Rounds per year
0.50
Follow on index
0.40
Investments by industry
  • Artificial Intelligence (4)
  • Analytics (3)
  • CleanTech (2)
  • GreenTech (2)
  • Sustainability (2)
  • Show 12 more
Investments by region
  • United States (3)
  • Canada (2)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
3
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
VRGL 30 Aug 2022 Analytics, Information Services, Advice, Consulting Early Stage Venture 15M United States, Texas, Dallas
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.