Inventages Venture Capital Investment Inc.

Type

Venture Capital

Location

Nassau, Bahamas

Total investments

37

Average round size

14M

Portfolio companies

25

Rounds per year

1.68

Lead investments

17

Follow on index

0.32

Exits

2

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
BiotechnologySupply Chain ManagementFood and BeverageHealth CareManufacturingMedicalPharmaceuticalTherapeuticsService IndustryBiopharma

Summary

In 2000 was created Inventages Venture Capital Investment Inc., which is appeared as VC. The fund was located in Europe if to be more exact in United Kingdom. The main department of described VC is located in the London.

This organization was formed by Gunnar Weikert. The overall number of key employees were 2.

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Inventages Venture Capital Investment Inc., startups are often financed by POSCO BioVentures, Seroba Life Sciences, Idinvest Partners. The meaningful sponsors for the fund in investment in the same round are Seroba Life Sciences, POSCO BioVentures, Enterprise Ireland. In the next rounds fund is usually obtained by BB Biotech Ventures, Ysios Capital, Roche Venture Fund.

Among the most successful fund investment fields, there are Manufacturing, Health Care. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight AM Pharma, MSI Methylation Sciences, Opsona. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. The fund has exact preference in some founders of portfolio startups.

Speaking about the real fund results, this VC is 40 percentage points more often commits exit comparing to other organizations. Comparing to the other companies, this Inventages Venture Capital Investment Inc. performs on 23 percentage points less the average number of lead investments. The higher amount of exits for fund were in 2016. The top activity for fund was in 2007. The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in 2-6 deals every year.

Show more

Investor highlights

Industry focus
HealthcareWellness & Fitness
Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Analytics

Total investments
37
Lead investments
17
Exits
2
Rounds per year
1.68
Follow on index
0.32
Investments by industry
  • Biotechnology (25)
  • Health Care (16)
  • Therapeutics (11)
  • Pharmaceutical (11)
  • Medical (9)
  • Show 25 more
Investments by region
  • United States (18)
  • Germany (2)
  • United Kingdom (6)
  • Ireland (3)
  • Canada (2)
  • Show 3 more
Peak activity year
2007

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
18
Avg. valuation at time of investment
160K
Group Appearance index
0.65
Avg. company exit year
9

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
Accera 16 Aug 2006 Biotechnology, Health Care, Pharmaceutical Early Stage Venture 7M United States, Colorado, Broomfield
Heqi Juli Education Group 25 Oct 2021 Analytics, Career Planning, Higher Education, Big Data, Consulting Early Stage Venture Beijing, Beijing, China
MooBella 12 Jul 2007 Supply Chain Management, Manufacturing, Service Industry Early Stage Venture 25M United States, Massachusetts, Taunton

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.