Hudson Structured Capital Management

Type

Corporate investor

Status

Active

Location

Stamford, United States

Total investments

29

Average round size

39M

Portfolio companies

18

Rounds per year

4.14

Lead investments

3

Follow on index

0.38

Exits

4

Stages of investment
Early Stage Venture
Areas of investment
InternetFinancial ServicesFinTechFinanceArtificial IntelligenceInsuranceInsurTechDelivery ServiceProperty InsuranceCustomer Service

Summary

Hudson Structured Capital Management appeared to be the VC, which was created in 2016. The company was established in North America in United States. The main office of represented VC is situated in the Stamford.

The common things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2019. The fund is constantly included in 2-6 investment rounds annually. This Hudson Structured Capital Management works on 12 percentage points less the average amount of lead investments comparing to the other organizations. The real fund results show that this VC is 30 percentage points more often commits exit comparing to other companies. The average startup value when the investment from Hudson Structured Capital Management is 100 thousands - 1 million dollars.

The standard case for the fund is to invest in rounds with 3 partakers. Despite the Hudson Structured Capital Management, startups are often financed by Commerce Ventures, 500 Startups, Thayer Street Partners. The meaningful sponsors for the fund in investment in the same round are FM Global, ff Venture Capital, Stone Point Capital. In the next rounds fund is usually obtained by Telstra Ventures, Obvious Ventures, Liberty Mutual Insurance.

The fund has specific favorite in a number of founders of portfolio startups. Among the most popular portfolio startups of the fund, we may highlight Bold Penguin, RiskGenius. We can highlight the next thriving fund investment areas, such as Property Insurance, Computer Vision. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

Show more

Investor highlights

Discover reliable insights

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

Investments analytics

Analytics

Total investments
29
Lead investments
3
Exits
4
Rounds per year
4.14
Follow on index
0.38
Investments by industry
  • Insurance (26)
  • InsurTech (22)
  • Financial Services (17)
  • FinTech (9)
  • Property Insurance (8)
  • Show 43 more
Investments by region
  • United States (29)
Peak activity year
2021

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
134M
Group Appearance index
0.93
Avg. company exit year
8
Strategy success index
0.80

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
Capture 01 Nov 2020 Health Diagnostics, Manufacturing, Medical Device Seed 20M United States, Ohio, Columbus
Forme Financial 06 Apr 2023 Financial Services, Online Portals, Advice Early Stage Venture 12M United States, New York, New York
Ladder 21 Feb 2020 Internet, Financial Services, FinTech, Insurance, InsurTech, Life Insurance Late Stage Venture 37M United States, California, Palo Alto
Gloat.com 16 Jun 2021 Software, Human Resources, Information Services, Artificial Intelligence, Career Planning, Marketplace, Social Media Late Stage Venture 68M United States, New York, New York

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.