Oakhouse Partners

Status

Active

Location

San Francisco, United States

Total investments

89

Average round size

13M

Portfolio companies

54

Rounds per year

12.71

Lead investments

8

Follow on index

0.37

Exits

22

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareInformation TechnologyMobileFinanceHealth CareSaaSEnterprise SoftwareRoboticsSocial Media

Summary

Oakhouse Partners is the famous VC, which was founded in 2013. The fund was located in North America if to be more exact in United States. The leading representative office of defined VC is situated in the San Francisco.

The current fund was established by Jason Portnoy. Besides them, we counted 3 critical employees of this fund in our database.

The increased amount of exits for fund were in 2018. The typical startup value when the investment from Oakhouse Partners is 500 millions - 1 billion dollars. The fund is generally included in 2-6 deals every year. Deals in the range of 10 - 50 millions dollars are the general things for fund. Considering the real fund results, this VC is 15 percentage points less often commits exit comparing to other organizations. The important activity for fund was in 2015. Despite it in 2019 the fund had an activity. Opposing the other organizations, this Oakhouse Partners works on 6 percentage points less the average amount of lead investments.

We can highlight the next thriving fund investment areas, such as Software, Robotics. Among the various public portfolio startups of the fund, we may underline Facebook, Palantir Technologies, Zynga The fund has no exact preference in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Oakhouse Partners, startups are often financed by CRV, Artis Ventures (AV), SV Angel. The meaningful sponsors for the fund in investment in the same round are Founders Fund, Sequoia Capital, Scott Banister. In the next rounds fund is usually obtained by Y Combinator, New Enterprise Associates, Lightspeed Venture Partners.

Show more

Investor highlights

Discover reliable insights

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

Investments analytics

Analytics

Total investments
89
Lead investments
8
Exits
22
Rounds per year
12.71
Follow on index
0.37
Investments by industry
  • Software (30)
  • Health Care (19)
  • Enterprise Software (15)
  • Information Technology (13)
  • Finance (13)
  • Show 114 more
Investments by region
  • United States (86)
Peak activity year
2013
Number of Unicorns
5
Number of Decacorns
6
Number of Minotaurs
3

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
11
Avg. valuation at time of investment
745M
Group Appearance index
0.70
Avg. company exit year
6
Avg. multiplicator
1.89
Strategy success index
0.80

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
LookSharp 11 Jun 2013 Career Planning, Education, Social Media, Employment Early Stage Venture 4M United States, California, San Francisco
Vector Care 03 Jul 2013 Transportation, Information Technology, Health Care Seed 200K United States, California, San Francisco

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.