Sound Ventures

Type

Venture Capital

Status

Active

Location

Beverly Hills, United States

Total investments

206

Average round size

45M

Portfolio companies

149

Rounds per year

22.89

Lead investments

8

Follow on index

0.27

Exits

14

Stages of investment
Private EquityEarly Stage Venture
Areas of investment
InternetSoftwareFinancial ServicesFinTechInformation TechnologyMobileArtificial IntelligenceMachine LearningHealth CareApps

Summary

Sound Ventures is the famous VC, which was founded in 2012. The main office of represented VC is situated in the Los Angeles. The venture was found in North America in United States.

This organization was formed by Guy Oseary. Besides them, we counted 3 critical employees of this fund in our database.

The standard case for the fund is to invest in rounds with 7-8 partakers. Despite the Sound Ventures, startups are often financed by SV Angel, Thrive Capital, General Catalyst. The meaningful sponsors for the fund in investment in the same round are Y Combinator, Thrive Capital, SV Angel. In the next rounds fund is usually obtained by Thrive Capital, Y Combinator, Khosla Ventures.

The fund is generally included in 13-24 deals every year. The higher amount of exits for fund were in 2018. This Sound Ventures works on 24 percentage points less the average amount of lead investments comparing to the other organizations. The important activity for fund was in 2018. Despite it in 2019 the fund had an activity. Deals in the range of 10 - 50 millions dollars are the general things for fund. When the investment is from Sound Ventures the average startup value is 500 millions - 1 billion dollars. Speaking about the real fund results, this VC is 11 percentage points less often commits exit comparing to other organizations.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular fund investment industries, there are Apps, Internet. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. The fund has no specific favorite in a number of founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low. Among the most popular portfolio startups of the fund, we may highlight Zenefits, Bird Rides, GitLab.

Show more

Investor highlights

Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 240000000
Fund raised date
2023-05-09

Analytics

Total investments
206
Lead investments
8
Exits
14
Rounds per year
22.89
Follow on index
0.27
Investments by industry
  • Software (64)
  • Financial Services (37)
  • FinTech (35)
  • Health Care (30)
  • Internet (25)
  • Show 209 more
Investments by region
  • United States (167)
  • Switzerland (3)
  • Canada (6)
  • Germany (3)
  • Israel (5)
  • Show 7 more
Peak activity year
2021
Number of Unicorns
25
Number of Decacorns
25
Number of Minotaurs
6

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
6
Avg. valuation at time of investment
687M
Group Appearance index
0.98
Avg. company exit year
6
Avg. multiplicator
4.02
Strategy success index
1.00

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
NFTfi 16 Nov 2021 Financial Services, Finance Early Stage Venture 5M Western Cape, Cape Town, South Africa
Pearpop 29 Nov 2022 Internet, Marketplace, Music, Social Media Early Stage Venture 18M United States, California, Los Angeles

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.