Mosaik Partners

Type

Venture Capital

Status

Active

Location

San Francisco, United States

Total investments

38

Average round size

6M

Portfolio companies

24

Rounds per year

3.45

Lead investments

10

Follow on index

0.37

Exits

3

Stages of investment
Early Stage Venture
Areas of investment
SoftwareFinancial ServicesFinTechB2BMobilePaymentsFinanceArtificial IntelligenceMachine LearningSaaS

Summary

Mosaik Partners is the famous VC, which was founded in 2013. The leading representative office of defined VC is situated in the San Francisco. The venture was found in North America in United States.

The typical case for the fund is to invest in rounds with 2-3 participants. Despite the Mosaik Partners, startups are often financed by Ironwood Capital, Connecticut Innovations, Black Dragon Capital. The meaningful sponsors for the fund in investment in the same round are Connecticut Innovations, Black Dragon Capital, Silicon Valley Bank. In the next rounds fund is usually obtained by Connecticut Innovations, Black Dragon Capital, North Atlantic Capital.

The increased amount of exits for fund were in 2019. The top activity for fund was in 2019. Opposing the other organizations, this Mosaik Partners works on 18 percentage points less the average amount of lead investments. Considering the real fund results, this VC is 54 percentage points more often commits exit comparing to other organizations. The fund is generally included in 2-6 deals every year. Deals in the range of 5 - 10 millions dollars are the general things for fund.

Among the various public portfolio startups of the fund, we may underline TFG Card Solutions, Zeguro, Boost Payment Solutions The fund has specific favorite in a number of founders of portfolio startups. If startup sums 4 or 5+ of the founder, the chance for it to be financed is low. We can highlight the next thriving fund investment areas, such as E-Commerce, Mobile. 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 requires to be at the age of 6-10 years to receive the investment from the fund.

We also calculated 2 valuable employees in our database.

Show more

Investor highlights

Industry focus
B2B/EnterpriseFintechCybersecurityAI/Big DataInsurtech
Stage focus
SeedSeries A
Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Analytics

Total investments
38
Lead investments
10
Exits
3
Rounds per year
3.45
Follow on index
0.37
Investments by industry
  • Payments (14)
  • Software (14)
  • Financial Services (13)
  • FinTech (11)
  • Mobile (7)
  • Show 41 more
Investments by region
  • United States (37)
  • United Kingdom (1)
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
9
Avg. valuation at time of investment
10M
Group Appearance index
0.53
Avg. company exit year
10
Avg. multiplicator
2.54

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
Sigma Ratings 12 Sep 2022 Information Technology, Artificial Intelligence, Machine Learning, Compliance Early Stage Venture United States, New York, New York
Unscrambl 16 May 2017 Analytics, Artificial Intelligence, Machine Learning, Big Data, Business Intelligence, Natural Language Processing Early Stage Venture 10M United States, Atlanta, Georgia
Zero Data Technology 27 Jul 2022 Financial Services, Blockchain, Energy Early Stage Venture Shanghai, Shanghai, China

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.