Media Development Investment Fund

Total investments

32

Average round size

542K

Portfolio companies

27

Rounds per year

1.14

Lead investments

8

Follow on index

0.16

Exits

1

Stages of investment
Private EquityEarly Stage Venture
Areas of investment
PublishingGovernmentSoftwareInformation TechnologyCommunitiesNewsSocial MediaMedia and EntertainmentDigital MediaJournalism

Investments analytics

Analytics

Total investments
32
Lead investments
8
Exits
1
Rounds per year
1.14
Follow on index
0.16
Investments by industry
  • News (16)
  • Digital Media (9)
  • Media and Entertainment (8)
  • Software (7)
  • Publishing (6)
  • Show 35 more
Investments by region
  • Poland (1)
  • Brazil (6)
  • India (1)
  • Ecuador (1)
  • Argentina (2)
  • Show 8 more
Peak activity year
2021

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
Group Appearance index
0.22
Avg. company exit year
14

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
BasicShit 14 Nov 2018 Manufacturing, CleanTech Seed 0 Delhi, New Delhi, India
Dataphyte 02 Dec 2021 Publishing, News, Media and Entertainment Seed Federal Capital Territory, Abuja, Nigeria
ERACARTOON 24 Apr 2015 Animation, Film Production, TV Production Early Stage Venture 1M Guangdong Province, Futian District, China
GkillCity 05 Aug 2014 Content, Digital Media, Audio Seed 75K Ecuador, Guayas, Guayaquil
KitaLulus 24 May 2022 Mobile Apps Early Stage Venture 8M Jakarta Raya, Jakarta, Indonesia

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.