Bethnal Green Ventures

Type

Venture Capital

Status

Active

Location

London, United Kingdom

Total investments

207

Average round size

979K

Portfolio companies

166

Rounds per year

17.25

Lead investments

8

Follow on index

0.20

Exits

1

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareInformation TechnologyFitnessHealth CareAppsMobile AppsCommunitiesEducationMedical

Summary

In 2010 was created Bethnal Green Ventures, which is appeared as VC. The fund was located in Europe if to be more exact in United Kingdom. The leading representative office of defined VC is situated in the London.

The important activity for fund was in 2015. The fund is constantly included in 13-24 investment rounds annually. Opposing the other organizations, this Bethnal Green Ventures works on 28 percentage points less the average amount of lead investments. The real fund results show that this VC is 15 percentage points less often commits exit comparing to other companies. The typical startup value when the investment from Bethnal Green Ventures is 1-5 millions dollars. The usual things for fund are deals in the range of 50-100 thousands dollars.

The fund was created by Paul Miller. Besides them, we counted 10 critical employees of this fund in our database.

The fund has specific favorite in a number of founders of portfolio startups. Among the most popular fund investment industries, there are Health Care, Medical. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Skin Analytics, OurPath, Fairphone. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United Kingdom.

The usual cause for the fund is to invest in rounds with 1-2 partakers. Despite the Bethnal Green Ventures, startups are often financed by Social Tech Trust, Pitch@Palace, DigitalHealth.London Accelerator. The meaningful sponsors for the fund in investment in the same round are Social Tech Trust, WeWork Creator Fund, Ian Marchant. In the next rounds fund is usually obtained by Social Tech Trust, DigitalHealth.London Accelerator, Ian Marchant.

Show more

Investor highlights

Industry focus
Climate techCommunity/Social networkHealthcare
Stage focus
Seed
Geo focus
United Kingdom
Check size
38K

Discover reliable insights

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

Investments analytics

Last fund

Fund size
EUR 33000000
Fund raised date
2023-11-29

Analytics

Total investments
207
Lead investments
8
Exits
1
Rounds per year
17.25
Follow on index
0.20
Investments by industry
  • Health Care (57)
  • Software (34)
  • Apps (28)
  • Education (23)
  • Information Technology (23)
  • Show 179 more
Investments by region
  • France (1)
  • United Kingdom (193)
  • United States (4)
  • Netherlands (3)
  • Bermuda (1)
  • Show 2 more
Peak activity year
2015

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
5
Avg. valuation at time of investment
321K
Group Appearance index
0.14
Avg. company exit year
2

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
Envysion 04 Aug 2006 Software, SaaS, Business Intelligence, Video Early Stage Venture 2M United States, Colorado
Oto Health 14 Jan 2022 Health Care, Apps, Therapeutics Seed 698K England, London, United Kingdom
VoltShare 11 Jun 2024 Information Technology, Apps, Electric Vehicle, Parking Seed 685K England, London, United Kingdom

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.