Big Sky Partners

Type

Venture Capital

Status

Active

Location

Truckee, United States

Total investments

19

Average round size

27M

Portfolio companies

11

Lead investments

1

Follow on index

0.42

Exits

5

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
SoftwareHealth CareWellnessSaaSEnterprise SoftwareMedicalEnergyManagement Information SystemsMining TechnologyWind Energy

Summary

The venture was found in North America in United States. The main department of described VC is located in the Sausalito.

The fund has exact preference in a number of founders of portfolio startups. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. 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 Marketing, CRM. Among the most popular portfolio startups of the fund, we may highlight Aravo Solutions, ProcessClaims, Linkage Biosciences.

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Big Sky Partners, startups are often financed by Greenhouse Capital Partners, Rembrandt Venture Partners, Sierra Angels. The meaningful sponsors for the fund in investment in the same round are Greenhouse Capital Partners, Stephen Friedman, Sierra Angels. In the next rounds fund is usually obtained by Greenhouse Capital Partners, Stephen Friedman, Fisher Capital.

Comparing to the other companies, this Big Sky Partners performs on 0 percentage points less the average number of lead investments. The high activity for fund was in 2008. The common things for fund are deals in the range of 5 - 10 millions dollars. The higher amount of exits for fund were in 2017. When the investment is from Big Sky Partners the average startup value is 10-50 millions dollars. The fund is constantly included in less than 2 investment rounds annually. The real fund results show that this VC is 1 percentage points more often commits exit comparing to other companies.

The current fund was established by Michael Schwab. The overall number of key employees were 1.

Show more

Investor highlights

Industry focus
Climate techCommunity/Social networkBlockchain/Crypto/Web3FintechGaming/Esports Show 3 more

Discover reliable insights

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

Investments analytics

Analytics

Total investments
19
Lead investments
1
Exits
5
Follow on index
0.42
Investments by industry
  • Software (6)
  • Enterprise Software (5)
  • Health Care (5)
  • Energy (3)
  • Management Information Systems (3)
  • Show 28 more
Investments by region
  • United States (16)
  • United Kingdom (1)
Peak activity year
2008
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
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
13
Avg. valuation at time of investment
552M
Group Appearance index
0.68
Avg. company exit year
10
Avg. multiplicator
0.37

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
01 Aug 2007 Software, SaaS, Enterprise Software, Management Information Systems Late Stage Venture 10M United States, San Francisco
08 Oct 2007 Software, Information Technology, Enterprise Software, Cloud Computing Seed 0 Germany, Munich
SENDY 01 Jun 2022 Software, Marketplace, Outdoors, Recreation Seed 1M
Sike Insights 01 Mar 2019 Human Resources, Artificial Intelligence, Machine Learning, Messaging, SaaS, Productivity Tools, Enterprise Software Seed United States, California, Los Angeles

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.