Spring Mountain Capital

Type

Corporate investor

Status

Active

Location

New York, United States

Total investments

49

Average round size

14M

Portfolio companies

33

Rounds per year

2.13

Lead investments

13

Follow on index

0.33

Exits

9

Stages of investment
Late Stage Venture
Areas of investment
BiotechnologySoftwareAnalyticsInformation TechnologyHealth CareSaaSEnterprise SoftwareMedical DeviceMedicalTherapeutics

Summary

Spring Mountain Capital is the famous VC, which was founded in 2001. The company was established in North America in United States. The main office of represented VC is situated in the New York.

We can highlight the next thriving fund investment areas, such as Clinical Trials, Fitness. The fund has no exact preference in a number of founders of portfolio startups. In case when startup counts 4 or 5+ of the founder, the chance for it to get the investment is meager. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. 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 Ziften Technologies, Prevalent Networks, Keen Decision Systems.

The fund was created by Launny Steffens. We also calculated 5 valuable employees in our database.

This Spring Mountain Capital works on 12 percentage points less the average amount of lead investments comparing to the other organizations. The higher amount of exits for fund were in 2019. The high activity for fund was in 2018. The fund is constantly included in 2-6 investment rounds annually. The common things for fund are deals in the range of 10 - 50 millions dollars. Considering the real fund results, this VC is 35 percentage points more often commits exit comparing to other organizations.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the Spring Mountain Capital, startups are often financed by Connecticut Innovations, Great Oaks Venture Capital, Female Founders Fund. The meaningful sponsors for the fund in investment in the same round are Connecticut Innovations, StarVest Partners, RRE Ventures. In the next rounds fund is usually obtained by RRE Ventures, National Cancer Institute SBIR Development Center, Ironwood Capital.

Show more

Investor highlights

Check size
5M — 15M

Discover reliable insights

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

Investments analytics

Analytics

Total investments
49
Lead investments
13
Exits
9
Rounds per year
2.13
Follow on index
0.33
Investments by industry
  • Health Care (20)
  • Biotechnology (14)
  • Medical Device (9)
  • Medical (8)
  • Enterprise Software (7)
  • Show 61 more
Investments by region
  • United States (45)
  • Canada (3)
  • China (1)
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
10
Avg. valuation at time of investment
59M
Group Appearance index
0.82
Avg. company exit year
9
Avg. multiplicator
5.24
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
Allyx Therapeutics 01 Jun 2021 Biotechnology, Health Care, Medical, Life Science Early Stage Venture 7M United States, New York, New Haven
Genomenon 08 Mar 2022 Software, Enterprise Software, Genetics, Medical, Developer Tools Early Stage Venture 20M United States, Ann Arbor, Michigan

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.