Xplorer Capital

Type

Venture Capital

Status

Active

Location

Menlo Park, United States

Total investments

38

Average round size

11M

Portfolio companies

31

Rounds per year

2.92

Lead investments

7

Follow on index

0.18

Exits

7

Stages of investment
Early Stage Venture
Areas of investment
SoftwareFinTechInformation TechnologyMobileArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareRoboticsFleet Management

Summary

Xplorer Capital is the famous VC, which was founded in 2011. The main office of represented VC is situated in the San Francisco. The fund was located in North America if to be more exact in United States.

This Xplorer Capital works on 1 percentage points more the average amount of lead investments comparing to the other organizations. The fund is constantly included in less than 2 deals per year. Considering the real fund results, this VC is 30 percentage points more often commits exit comparing to other organizations. The top activity for fund was in 2019. The higher amount of exits for fund were in 2019. The average startup value when the investment from Xplorer Capital is 10-50 millions dollars. The common things for fund are deals in the range of 10 - 50 millions dollars.

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Xplorer Capital, startups are often financed by Morado Ventures, Visionnaire Ventures, Yahoo. The meaningful sponsors for the fund in investment in the same round are Bullpen Capital, Alumni Ventures Group, Wilbur-Ellis. In the next rounds fund is usually obtained by aucfan Co.,Ltd., Vostok New Ventures, TheTime.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. The fund has no exact preference in some founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Public Transportation, Marketing. Among the most popular portfolio startups of the fund, we may highlight Maverick, SpaceIQ, Canvas Technology.

The current fund was established by Ettore Leale, Keith Nilsson. The overall number of key employees were 2.

Show more

Investor highlights

Industry focus
AI/Big DataIoTB2B/EnterpriseRoboticsManufacturing Show 1 more
Stage focus
SeedSeries ASeries B

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 100000000
Fund raised date
2018-01-10

Analytics

Total investments
38
Lead investments
7
Exits
7
Rounds per year
2.92
Follow on index
0.18
Investments by industry
  • Software (11)
  • Artificial Intelligence (11)
  • Robotics (10)
  • Machine Learning (6)
  • FinTech (5)
  • Show 80 more
Investments by region
  • United States (29)
  • Germany (2)
  • India (3)
  • United Kingdom (1)
  • United Arab Emirates (1)
  • Show 1 more
Peak activity year
2018
Number of Unicorns
1
Number of Decacorns
1

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
8
Avg. valuation at time of investment
66M
Group Appearance index
0.87
Avg. company exit year
8
Avg. multiplicator
2.05
Strategy success index
0.10

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
Scalefast 30 Jun 2020 E-Commerce, B2B, Payments, Artificial Intelligence, Cloud Computing, E-Commerce Platforms, Subscription Service, B2C Early Stage Venture 22M United States, California

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.