Rio Bravo

Total investments

2

Average round size

500K

Portfolio companies

2

Lead investments

1

Areas of investment
E-CommerceInformation TechnologyMobilePaymentsInformation ServicesDeliveryTaxi Service

Summary

The venture was found in South America in Brazil. The main office of represented VC is situated in the Su00e3o Paulo.

The important activity for fund was in 2000. The common things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

The standard case for the fund is to invest in rounds with 1-2 partakers. The meaningful sponsors for the fund in investment in the same round are DGF Investimentos. In the next rounds fund is usually obtained by Prosus, MIH, Innova Capital Consultoria Ltda (Brazil).

Among the most popular fund investment industries, there are Mobile, Payments. Among the most popular portfolio startups of the fund, we may highlight Movile. Besides, a startup needs to be aged 2-3 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 - Brazil.

We also calculated 10 valuable employees in our database.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Investments by industry
  • Delivery (1)
  • Payments (1)
  • Taxi Service (1)
  • Information Services (1)
  • Information Technology (1)
  • Show 2 more
Investments by region
  • Brazil (2)
Peak activity year
2005

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Quantitative data

Avg. startup age at the time of investment
20
Avg. valuation at time of investment
438M
Group Appearance index
0.50
Strategy success index
0.57

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Wappa 01 Jan 2005 Payments, Delivery, Taxi Service Seed São Paulo, Sao Paulo, Brazil
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.