Uqalo

Total investments

2

Average round size

7M

Portfolio companies

2

Lead investments

1

Stages of investment
Private Equity
Areas of investment
E-CommerceRetailFood and BeverageMarketplaceGroceryShoppingFood DeliveryAgriculture

Summary

The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the Uqalo, startups are often financed by United States Agency for International Development, Google Launchpad Accelerator, GSMA Ecosystem Accelerator. The meaningful sponsors for the fund in investment in the same round are Wamda Capital, Omidyar Network, DOB Equity. In the next rounds fund is usually obtained by TLcom Capital Partners, International Finance Corporation, Wamda Capital.

Among the most popular portfolio startups of the fund, we may highlight Twiga Foods. Among the most successful fund investment fields, there are Agriculture, Food Delivery. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

The usual things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in less than 2 investment rounds annually. The high activity for fund was in 2017.

Show more

Investments analytics

Analytics

Total investments
2
Lead investments
1
Investments by industry
  • Retail (2)
  • E-Commerce (1)
  • Marketplace (1)
  • Agriculture (1)
  • Grocery (1)
  • Show 3 more
Investments by region
  • Kenya (2)
Peak activity year
2017

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
8
Group Appearance index
0.50

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
Twiga Foods 31 Jul 2017 E-Commerce, Retail, Marketplace, Grocery, Shopping, Agriculture Early Stage Venture 10M Kenya, Nairobi
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.