Unique Partners

Total investments

1

Portfolio companies

1

Rounds per year

0.11

Stages of investment
SeedEarly Stage Venture
Areas of investment
LogisticsE-CommerceInternetB2BPaymentsE-Commerce PlatformsB2C

Summary

Unique Partners appeared to be the VC, which was created in 2012. The fund was located in South America if to be more exact in Brazil. The main department of described VC is located in the Su00e3o Paulo.

The standard case for the fund is to invest in rounds with 1 partaker. Despite the Unique Partners, startups are often financed by Flybridge Capital Partners. In the next rounds fund is usually obtained by Flybridge Capital Partners, Silvio Genesini, Fabrice Grinda.

The important activity for fund was in 2012. The fund is constantly included in less than 2 investment rounds annually.

We also calculated 1 valuable employee in our database.

We can highlight the next thriving fund investment areas, such as Internet, Logistics. For fund there is a match between the country of its foundation and the country of its the most frequent investments - Brazil. Among the most popular portfolio startups of the fund, we may highlight Infracommerce. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.11
Investments by industry
  • B2C (1)
  • E-Commerce Platforms (1)
  • Internet (1)
  • Payments (1)
  • Logistics (1)
  • Show 2 more
Investments by region
  • Brazil (1)
Peak activity year
2012

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Quantitative data

Avg. startup age at the time of investment
9

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Infracommerce 15 Oct 2012 Logistics, E-Commerce, Internet, B2B, Payments, E-Commerce Platforms, B2C Seed 0 Brazil, São Paulo

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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.