North Coast Ventures

Type

Venture Capital

Status

Active

Location

Cleveland, United States

Total investments

94

Average round size

5M

Portfolio companies

65

Rounds per year

5.22

Lead investments

13

Follow on index

0.31

Exits

6

Stages of investment
SeedEarly Stage Venture
Areas of investment
BiotechnologySoftwareInformation TechnologyHealth CareSaaSEnterprise SoftwareMedical DeviceMedicalLife ScienceTherapeutics

Summary

North Coast Angel Fund is the famous VC, which was founded in 2006. The company was established in North America in United States. The leading representative office of defined VC is situated in the Cleveland.

Speaking about the real fund results, this VC is 0 percentage points less often commits exit comparing to other organizations. This North Coast Angel Fund works on 22 percentage points less the average amount of lead investments comparing to the other organizations. When the investment is from North Coast Angel Fund the average startup value is 1-5 millions dollars. The fund is constantly included in 2-6 deals per year. The usual things for fund are deals in the range of 1 - 5 millions dollars. The high activity for fund was in 2014. Despite it in 2019 the fund had an activity. The top amount of exits for fund were in 2018.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the North Coast Angel Fund, startups are often financed by Rev1 Ventures, Ohio TechAngels Fund, Flashstarts. The meaningful sponsors for the fund in investment in the same round are Queen City Angels, CincyTech, Glengary Ventures. In the next rounds fund is usually obtained by Ohio TechAngels Fund, Allos Ventures, CincyTech.

The fund was created by Claiborne Rankin, Todd Federman. We also calculated 3 valuable employees in our database.

Among the most popular portfolio startups of the fund, we may highlight Juventas Therapeutics, Axuall, 3X Systems. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular fund investment industries, there are Life Science, Enterprise Software. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. The fund has 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.

Show more

Investor highlights

Industry focus
B2B/Enterprise
Stage focus
Seed
Geo focus

Discover reliable insights

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

Investments analytics

Analytics

Total investments
94
Lead investments
13
Exits
6
Rounds per year
5.22
Follow on index
0.31
Investments by industry
  • Health Care (36)
  • Software (31)
  • Medical Device (22)
  • Information Technology (17)
  • Medical (15)
  • Show 105 more
Investments by region
  • United States (93)
Peak activity year
2014
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
11
Avg. valuation at time of investment
3M
Group Appearance index
0.88
Avg. company exit year
7
Avg. multiplicator
1.52
Strategy success index
0.20

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
Cloverpop 14 Dec 2022 Software, B2B, SaaS, Collaboration, Enterprise Software, Predictive Analytics Early Stage Venture United States, California, San Francisco
OnStation 10 Jun 2024 Software, Mobile, Mobile Apps Early Stage Venture 8M United States, Ohio, Cleveland

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.