Africa Internet Holding
2
47M
2
2
1
- Areas of investment
Summary
The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in less than 2 deals every year. The top activity for fund was in 2013.
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 Taxi Service, Apps. Among the most popular portfolio startups of the fund, we may highlight Easy Taxi.
The fund was created by Jeremy Hodara.
The usual cause for the fund is to invest in rounds with 2 partakers. Despite the Africa Internet Holding, startups are often financed by Rocket Internet, Latin America Internet Holding (LIH). The meaningful sponsors for the fund in investment in the same round are Rocket Internet. In the next rounds fund is usually obtained by HV Holtzbrinck Ventures, iMENA Group, TEV | Tengelmann Ventures.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 2
- Exits
- 1
- Investments by industry
- Automotive (1)
- Taxi Service (1)
- Apps (1)
- Public Transportation (1)
- Mobile (1) Show 5 more
- Investments by region
-
- United States (1)
- Brazil (1)
- Peak activity year
- 2013
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
- 1.00
- Avg. company exit year
- 6
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 |
|---|---|---|---|---|---|
| Gro Intelligence | 08 Jan 2021 | SaaS, Big Data, Data Visualization, Agriculture | Early Stage Venture | 85M | United States, New York, New York |
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.