Convergence Partners
40
10M
29
2.35
13
0.28
6
- Stages of investment
- Areas of investment
Summary
Convergence Partners appeared to be the VC, which was created in 2006. The company was established in Africa in South Africa. The main department of described VC is located in the Johannesburg.
For fund there is no match between the location of its establishment and the land of its numerous investments - United States. We can highlight the next thriving fund investment areas, such as Service Industry, Information Services. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight CSquared, Snapt, Vectiv. The fund has exact preference in some founders of portfolio startups.
The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the Convergence Partners, startups are often financed by Weber Capital, San Francisco Equity Partners, vSpring Capital. The meaningful sponsors for the fund in investment in the same round are Weber Capital, San Francisco Equity Partners, vSpring Capital. In the next rounds fund is usually obtained by vSpring Capital, Weber Capital, San Francisco Equity Partners.
The top amount of exits for fund were in 2018. The fund is constantly included in less than 2 deals per year. Deals in the range of 10 - 50 millions dollars are the general things for fund. Comparing to the other companies, this Convergence Partners performs on 15 percentage points less the average number of lead investments. The important activity for fund was in 2000. The real fund results show that this VC is 14 percentage points more often commits exit comparing to other companies. The average startup value when the investment from Convergence Partners is 50-100 millions dollars.
The current fund was established by Andile Ngcaba, Brandon Doyle, Eric Di Benedetto, Idan Segal, Russ Irwin, Stefan Ferreira. The overall number of key employees were 5.
Investments analytics
Analytics
- Total investments
- 40
- Lead investments
- 13
- Exits
- 6
- Rounds per year
- 2.35
- Follow on index
- 0.28
- Investments by industry
- Information Technology (14)
- Software (12)
- Information Services (9)
- Mobile (8)
- Internet (8) Show 59 more
- Investments by region
-
- United States (24)
- Kenya (1)
- South Africa (6)
- Nigeria (1)
- Malawi (2) Show 4 more
- Peak activity year
- 2000
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
- 16
- Avg. valuation at time of investment
- 6M
- Group Appearance index
- 0.57
- Avg. company exit year
- 11
- Avg. multiplicator
- 0.70
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 |
---|---|---|---|---|---|
01 Jan 2014 | FinTech, Analytics | Seed | 1M | England, London, United Kingdom | |
Penguin Computing | 16 Oct 2007 | Software, Information Technology, Information Services, Enterprise Software | Late Stage Venture | 3M | United States, California, San Francisco |
RUTI | 30 Oct 2019 | E-Commerce, Fashion, Local, Shopping | Early Stage Venture | 6M | United States, California, Palo Alto |
Seoul Ventures | 25 Oct 2019 | E-Commerce, Software, Information Technology, Web Development | Seed | 87K | Seoul, Seoul-t'ukpyolsi, South Korea |
Yellow | 27 Mar 2023 | Internet, Last Mile Transportation, Transportation, Software, Mobile, Mobile Payments, Bitcoin, Ride Sharing, Public Transportation | Early Stage Venture | 14M | Malawi, Lilongwe, Lilongwe |
Similar funds
By same location
By same geo focus
By doing lead investments
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.