MMC Ventures

Type

Venture Capital

Status

Active

Location

London, United Kingdom

Total investments

220

Average round size

10M

Portfolio companies

114

Rounds per year

9.17

Lead investments

51

Follow on index

0.48

Exits

15

Stages of investment
SeedEarly Stage Venture
Areas of investment
E-CommerceSoftwareFinancial ServicesAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningHealth CareSaaSEnterprise Software

Summary

MMC Ventures is the famous VC, which was founded in 2000. The venture was found in Europe in United Kingdom. The main office of represented VC is situated in the London.

The fund was created by Alan Morgan, Bruce Macfarlane. The overall number of key employees were 12.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the MMC Ventures, startups are often financed by Notion, Upscale, Playfair Capital. The meaningful sponsors for the fund in investment in the same round are Notion, Eden Ventures, Venture Founders. In the next rounds fund is usually obtained by Upscale, Venture Founders, Future Fifty.

The fund is constantly included in 2-6 investment rounds annually. The real fund results show that this VC is 27 percentage points more often commits exit comparing to other companies. The higher amount of exits for fund were in 2016. The common things for fund are deals in the range of 5 - 10 millions dollars. When the investment is from MMC Ventures the average startup value is 5-10 millions dollars. The important activity for fund was in 2019. This MMC Ventures works on 17 percentage points less the average amount of lead investments comparing to the other organizations.

Among the various public portfolio startups of the fund, we may underline Signal AI, MoneyExpert, CloudSense The fund has no exact preference in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United Kingdom. Among the most successful fund investment fields, there are Analytics, Health Care.

Show more

Investor highlights

Industry focus
Cloud/InfrastructureAI/Big DataConsumer/RetailHealthcareFintech
Stage focus
Series ASeed
Geo focus
United Kingdom, England, London
Check size
Up to 13M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
GBP 100000000
Fund raised date
2019-11-18

Analytics

Total investments
220
Lead investments
51
Exits
15
Rounds per year
9.17
Follow on index
0.48
Investments by industry
  • Software (69)
  • Artificial Intelligence (38)
  • Machine Learning (33)
  • Information Technology (30)
  • E-Commerce (29)
  • Show 186 more
Investments by region
  • United Kingdom (188)
  • United States (16)
  • Germany (3)
  • France (4)
  • Norway (2)
  • Show 4 more
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
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
10
Avg. valuation at time of investment
34M
Group Appearance index
0.83
Avg. company exit year
12
Avg. multiplicator
1.83
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
Bloom Coaching 13 Nov 2023 Career Planning, Guides Seed 10M England, London, United Kingdom
XUND 02 Apr 2024 Artificial Intelligence, Health Care, Health Diagnostics, Apps, Medical, Personal Health, mHealth Seed 2M Vienna, Austria

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.