Sun Mountain Capital

Type

Venture Capital

Status

Active

Location

Santa Fe, United States

Total investments

49

Average round size

13M

Portfolio companies

24

Rounds per year

1.20

Lead investments

3

Follow on index

0.51

Exits

7

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
BiotechnologyInformation TechnologyHealth CareHealth DiagnosticsGeneticsManufacturingMedicalSemiconductorCleanTechElectronics

Summary

In 1981 was created Sun Mountain Capital, which is appeared as VC. The main office of represented VC is situated in the Santa Fe. The company was established in North America in United States.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Sun Mountain Capital, startups are often financed by Tullis Health Investors, vSpring Capital, Mesa Verde Venture Partners. The meaningful sponsors for the fund in investment in the same round are EPIC Ventures, Tullis Health Investors, Mesa Verde Venture Partners. In the next rounds fund is usually obtained by Tullis Health Investors, EPIC Ventures, Stage 1 Ventures.

We also calculated 6 valuable employees in our database.

Among the most popular portfolio startups of the fund, we may highlight Seamless Medical Systems, Agilvax, xF Technologies Inc.. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. The fund has no exact preference in some founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little. We can highlight the next thriving fund investment areas, such as Manufacturing, Energy. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.

The fund is constantly included in 2-6 investment rounds annually. Comparing to the other companies, this Sun Mountain Capital performs on 15 percentage points less the average number of lead investments. The top amount of exits for fund were in 2018. Considering the real fund results, this VC is 2 percentage points more often commits exit comparing to other organizations. The top activity for fund was in 2014. Despite it in 2019 the fund had an activity. Deals in the range of 5 - 10 millions dollars are the general things for fund.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
GeneralistSeedSeries A
Geo focus
Mexico

Discover reliable insights

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

Investments analytics

Analytics

Total investments
49
Lead investments
3
Exits
7
Rounds per year
1.20
Follow on index
0.51
Investments by industry
  • Medical (17)
  • Health Care (17)
  • Biotechnology (15)
  • Manufacturing (10)
  • Information Technology (9)
  • Show 47 more
Investments by region
  • United States (49)
Peak activity year
2014

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
12
Avg. valuation at time of investment
1M
Group Appearance index
0.94
Avg. company exit year
11
Avg. multiplicator
0.13

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
Docflow 12 Sep 2022 Online Portals, Collaboration, Document Management, Document Preparation Seed 1M Noord-Holland, Amsterdam, The Netherlands
Green Theme Technologies 10 Oct 2022 Chemical, Textiles Early Stage Venture 5M United States, New Mexico, Albuquerque
Robotic Skies 16 Aug 2017 Commercial, Robotics, Aerospace, Marketing Seed United States, New Mexico, Albuquerque

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.