Shepherd Ventures

Type

Venture Capital

Status

Active

Location

San-Diego, United States

Total investments

24

Average round size

10M

Portfolio companies

17

Rounds per year

1.09

Lead investments

2

Follow on index

0.29

Exits

5

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
Business/Productivity SoftwareApplication SoftwareBiotechnologySoftwareMobileHealth CareEnterprise SoftwarePharmaceuticalTherapeuticsiOS

Summary

Shepherd Ventures is the famous VC, which was founded in 2001. The venture was found in North America in United States. The leading representative office of defined VC is situated in the San Diego.

We also calculated 2 valuable employees in our database.

The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the Shepherd Ventures, startups are often financed by Vivo Capital, Valley Ventures, Technology Partners. The meaningful sponsors for the fund in investment in the same round are Tech Coast Angels, Mayfield Fund, Vivo Capital. In the next rounds fund is usually obtained by Mayfield Fund, Essex Woodlands Healthcare Partners, Vivo Capital.

The fund has no exact preference in some founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight WiSpry, Specific Media, Carepoynt. Besides, a startup needs to be aged 11-15 years to get the investment from the fund. Among the most popular fund investment industries, there are Health Care, Electronics.

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in less than 2 deals every year. The high activity for fund was in 2005. The real fund results show that this VC is 10 percentage points less often commits exit comparing to other companies. When the investment is from Shepherd Ventures the average startup value is 1-5 millions dollars. Comparing to the other companies, this Shepherd Ventures performs on 5 percentage points less the average number of lead investments. The top amount of exits for fund were in 2015.

Show more

Investor highlights

Industry focus
AI/Big DataCloud/InfrastructureEnergyBiotech/Life SciencesHealthcare Show 1 more
Geo focus
United States, California, San Diego

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
24
Lead investments
2
Exits
5
Rounds per year
1.09
Follow on index
0.29
Investments by industry
  • Software (7)
  • Health Care (6)
  • Mobile (5)
  • Biotechnology (4)
  • Enterprise Software (4)
  • Show 45 more
Investments by region
  • United States (23)
  • Israel (1)
Peak activity year
2005
Number of Minotaurs
1

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
21
Avg. valuation at time of investment
300K
Group Appearance index
1.00
Avg. company exit year
17
Strategy success index
0.40

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
CEYX 14 Jan 2005 Software Early Stage Venture 4M United States, California, San Diego
Cyabra 26 Oct 2021 Information Services, Cyber Security, Social Media, Natural Language Processing Early Stage Venture 5M Tel Aviv District, Tel Aviv-Yafo, Israel
Garment IO 26 Feb 2020 Software, Manufacturing, Internet of Things Seed 450K United States, Texas, Egypt

Similar funds

By same location

By same geo focus

By doing lead investments

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.