XSeed Capital Founded 2006
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.
Total investments 82
Average round size
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The average size of a deal this fund participated in
$5M
Portfolio companies 43
Rounds per year 2.87
Lead investments 15
Follow on index
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How often the fund supports its portfolio startups at next rounds
0.43
Exits 10
Stages of investment
Early Stage Venture
Seed
Areas of investment
Analytics
Artificial Intelligence
Health Care
Software
Telecommunications
Summary

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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Notable deals
CompanyIndustryRoundRound SizeDateInvestorsLocation
Esports One
Analytics
Artificial Intelligence
Computer Vision
Data Visualization
eSports
Fantasy Sports
Gaming
Machine Learning
Video Games
Video Streaming
Seed
4M03 Dec 2020 United States, Santa Monica
Narrative
Advertising
Big Data
Classifieds
Cloud Data Services
Consumer Electronics
Enterprise Software
Hardware
Image Recognition
Internet
Social Media
Software
Wearables
Early Stage Venture
8M27 Aug 2020 United States, New York
Lilt
Artificial Intelligence
Enterprise Software
Machine Learning
Natural Language Processing
Software
Translation Service
Early Stage Venture
25M12 May 2020 United States, San Francisco
unitQ
Analytics
Artificial Intelligence
Machine Learning
Product Design
Quality Assurance
SaaS
Software
Early Stage Venture
11M03 Mar 2020 United States, " United States"}
Peerwell
Health Care
Medical
mHealth
Personal Health
Early Stage Venture
6M27 Aug 2019 United States, San Francisco
Narrative
Advertising
Big Data
Classifieds
Cloud Data Services
Consumer Electronics
Enterprise Software
Hardware
Image Recognition
Internet
Social Media
Software
Wearables
Seed
3M25 Feb 2019 United States, New York
Agriculture
Artificial Intelligence
Industrial Automation
Machine Learning
Robotics
Venture - Series Unknown
01 Jan 2019 India, " India"}
Avochato
Internet
Messaging
SMS
Software
Early Stage Venture
5M07 Dec 2018 United States, San Francisco
Lilt
Artificial Intelligence
Enterprise Software
Machine Learning
Natural Language Processing
Software
Translation Service
Early Stage Venture
9M04 Oct 2018 United States, San Francisco
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