Horizon Technology Finance

Type

Venture Capital

Status

Active

Location

Farmington, United States

Total investments

94

Average round size

16M

Portfolio companies

88

Rounds per year

4.70

Lead investments

32

Follow on index

0.06

Exits

31

Stages of investment
Debt
Areas of investment
BiotechnologySoftwareInformation TechnologyHealth CareHealth DiagnosticsHospitalMedical DeviceMedicalPharmaceuticalTherapeutics

Summary

In 2003 was created Horizon Technology Finance, which is appeared as VC. The main department of described VC is located in the Farmington. The company was established in North America in United States.

The typical case for the fund is to invest in rounds with 1-2 participants. Despite the Horizon Technology Finance, startups are often financed by Intel Capital, InterWest Partners, Flybridge Capital Partners. The meaningful sponsors for the fund in investment in the same round are Silicon Valley Bank, VantagePoint Capital Partners, Trident Capital. In the next rounds fund is usually obtained by Tribeca Venture Partners, RRE Ventures, Pequot Capital.

The fund is constantly included in 2-6 investment rounds annually. Comparing to the other companies, this Horizon Technology Finance performs on 13 percentage points more the average number of lead investments. Speaking about the real fund results, this VC is 24 percentage points more often commits exit comparing to other organizations. The common things for fund are deals in the range of 10 - 50 millions dollars. The increased amount of exits for fund were in 2018. The top activity for fund was in 2014. Despite it in 2019 the fund had an activity.

The fund has exact preference in some founders of portfolio startups. In case when startup counts 4 of the founder, the chance for it to get the investment is meager. Among the various public portfolio startups of the fund, we may underline Intarcia Therapeutics, OutboundEngine, New Signature Among the most popular fund investment industries, there are Medical, Advertising. 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.

The overall number of key employees were 9.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistClimate techHealthcareBiotech/Life SciencesProptech/Real Estate Show 9 more
Stage focus
SeedSeries ASeries BSeries CSeries D Show 1 more
Geo focus
CanadaMexicoUnited States
Check size
Up to 50M

Discover reliable insights

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

Investments analytics

Analytics

Total investments
94
Lead investments
32
Exits
31
Rounds per year
4.70
Follow on index
0.06
Investments by industry
  • Health Care (35)
  • Biotechnology (33)
  • Medical Device (16)
  • Medical (12)
  • Software (11)
  • Show 129 more
Investments by region
  • United States (87)
  • India (2)
  • Canada (3)
  • Germany (1)
  • France (1)
Peak activity year
2021
Number of Unicorns
2
Number of Decacorns
2
Number of Minotaurs
2

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
14
Avg. valuation at time of investment
80M
Group Appearance index
0.27
Avg. company exit year
11
Avg. multiplicator
0.28
Strategy success index
0.70

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
Maverix Platforms 01 Feb 2021 Food and Beverage Late Stage Venture 200M Maharashtra, Mumbai, India

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.