SVG Ventures-THRIVE

Type

Corporate investor

Status

Active

Location

Los Gatos, United States

Total investments

243

Average round size

621K

Portfolio companies

180

Rounds per year

17.36

Lead investments

114

Follow on index

0.26

Exits

6

Stages of investment
SeedEarly Stage Venture
Areas of investment
BiotechnologySoftwareInformation TechnologyArtificial IntelligenceMachine LearningCleanTechInternet of ThingsAgTechAgricultureFarming

Summary

SVG Ventures appeared to be the VC, which was created in 2010. The leading representative office of defined VC is situated in the Los Gatos. The venture was found in North America in United States.

The current fund was established by John Hartnett. We also calculated 4 valuable employees in our database.

The fund has no exact preference in some founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little. Among the various public portfolio startups of the fund, we may underline Posiq, Stringify, OVGuide Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Machine Learning, Agriculture. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the SVG Ventures, startups are often financed by Viking Global Investors, SP Ventures, Baita Accelerator. The meaningful sponsors for the fund in investment in the same round are Thrive Agtech Accelerator, Digicel, Act Venture Capital. In the next rounds fund is usually obtained by S2G Ventures, Wayra, Vickers Venture Partners.

The top amount of exits for fund were in 2017. This SVG Ventures works on 12 percentage points less the average amount of lead investments comparing to the other organizations. The real fund results show that this VC is 17 percentage points less often commits exit comparing to other companies. The fund is constantly included in 2-6 deals per year. Deals in the range of 1 - 5 millions dollars are the general things for fund. The important activity for fund was in 2018.

Show more

Investor highlights

Stage focus
Seed

Discover reliable insights

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

Investments analytics

Analytics

Total investments
243
Lead investments
114
Exits
6
Rounds per year
17.36
Follow on index
0.26
Investments by industry
  • AgTech (119)
  • Agriculture (104)
  • Farming (61)
  • Software (50)
  • Biotechnology (34)
  • Show 157 more
Investments by region
  • United States (80)
  • Ireland (9)
  • Canada (61)
  • Chile (5)
  • India (4)
  • Show 23 more
Peak activity year
2023

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
7
Avg. valuation at time of investment
1M
Group Appearance index
0.17
Avg. company exit year
8
Avg. multiplicator
0.99

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
Glownet 01 Sep 2015 Events, NFC, RFID Seed 548K England, London, United Kingdom
Napigen, Inc. 12 Jul 2022 Biotechnology, AgTech, Agriculture Seed 7M United States, Delaware, Wilmington
Vertum Technologies 25 Aug 2022 Software, Artificial Intelligence, Machine Learning, Robotics, CleanTech, Internet of Things, Sustainability, Agriculture, Machinery Manufacturing Seed 90K United States, Massachusetts, Boston

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.