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XSeed Capital

Investor type Micro VC
Founders Michael Borrus


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This summary is composed by our algorithm based on the analysis of the deals. If you think that some of this information is not accurate, please let us know about it and provide any supporting evidences if possible. Such cases will be analyzed by our ML-algorithm and implemented in our database, which will improve this summary.

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Total investments 87
Average round size
The average size of a deal this fund participated in
Portfolio companies 47
Rounds per year 5.12
Lead investments 17
Follow on index
How often the fund supports its portfolio startups at next rounds
Exits 11
Key employees 4
Stages of investment
Early Stage Venture

Areas of investment

  • Software
  • Artificial Intelligence
  • Health Care
  • Analytics
  • Internet

XSeed Capital appeared to be the VC, which was created in 2006. The venture was found in North America in United States. The main office of represented VC is situated in the Portola Valley.

We also calculated 4 valuable employees in our database.

The fund is generally included in 2-6 deals every year. Speaking about the real fund results, this VC is 2 percentage points more often commits exit comparing to other organizations. Deals in the range of 5 - 10 millions dollars are the general things for fund. The top amount of exits for fund were in 2015. The top activity for fund was in 2013. Despite it in 2019 the fund had an activity. This XSeed Capital works on 14 percentage points less the average amount of lead investments comparing to the other organizations. When the investment is from XSeed Capital the average startup value is 5-10 millions dollars.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the XSeed Capital, startups are often financed by Mohr Davidow Ventures, Ulu Ventures, Claremont Creek Ventures. The meaningful sponsors for the fund in investment in the same round are Mohr Davidow Ventures, Claremont Creek Ventures, Ulu Ventures. In the next rounds fund is usually obtained by Mohr Davidow Ventures, Claremont Creek Ventures, Trident Capital.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most successful fund investment fields, there are Mobile, Machine Learning. 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 Zipline Medical, OPX Biotechnologies, AtScale. The fund has no exact preference in a number of founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low.

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Related Funds

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These funds often invest in the rounds preceeding the rounds of XSeed Capital:
Typical Co-investors
XSeed Capital is more likely to invest in rounds together with the following funds:
Funds investing in following rounds
These funds have a tendency to invest in the following rounds after XSeed Capital:

Funds with similar focus

Funds from United States
Funds with similar focus located in United States:
Funds with the same geo focus
Funds with similar geography of portfolio companies:
Funds doing lead investments
Funds with similar focus acting as lead investors:

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Notable deals

CompanyIndustryRound SizeDateInvestorsLocation


Artificial Intelligence
Automation/Workflow Software
Business/Productivity Software
Machine Learning
Retail Technology
Social/Platform Software
$8M02 Sep 2022 New York, New York, United States


Artificial Intelligence
12 Jul 2022 Berkeley, California, United States


Artificial Intelligence
Enterprise Software
Machine Learning
Natural Language Processing
Translation Service
$55M07 Apr 2022 San Francisco, California, United States

Esports One

Artificial Intelligence
Computer Vision
Data Visualization
Fantasy Sports
Machine Learning
Video Games
Video Streaming
$4M03 Dec 2020 Santa Monica, California, United States

Artisan Bio

$21M25 Nov 2020 Aurora, Colorado, United States


Big Data
Cloud Data Services
Consumer Electronics
Enterprise Software
Image Recognition
Social Media
$8M27 Aug 2020 New York, New York, United States


Artificial Intelligence
Enterprise Software
Machine Learning
Natural Language Processing
Translation Service
$25M12 May 2020 San Francisco, California, United States


Artificial Intelligence
Machine Learning
Product Design
Quality Assurance
$11M03 Mar 2020 California, United States


Health Care
Personal Health
$6M27 Aug 2019 San Francisco, California, United States


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