State Oil Fund of Azerbaijan (SOFAZ)

Total investments

3

Average round size

66M

Portfolio companies

2

Rounds per year

0.12

Lead investments

1

Follow on index

0.33

Areas of investment
LogisticsE-LearningEdTechHigher EducationEducationWarehousing

Summary

In 1999 was created State Oil Fund of Azerbaijan (SOFAZ), which is appeared as VC.

Deals in the range of more than 100 millions dollars are the general things for fund. The high activity for fund was in 2017. The fund is generally included in less than 2 deals every year.

Besides, a startup needs to be aged 1 and less years to get the investment from the fund. Among the most successful fund investment fields, there are Logistics, Warehousing. Among the various public portfolio startups of the fund, we may underline ESR Cayman (e-Shang Redwood)

The typical case for the fund is to invest in rounds with 1 participant. Despite the State Oil Fund of Azerbaijan (SOFAZ), startups are often financed by SPD International, Huarong International Financial Holdings, GF Investments. In the next rounds fund is usually obtained by SK Holdings, JD.com.

Show more

Investments analytics

Analytics

Total investments
3
Lead investments
1
Rounds per year
0.12
Follow on index
0.33
Investments by industry
  • Warehousing (2)
  • Logistics (2)
  • Higher Education (1)
  • Education (1)
  • EdTech (1)
  • Show 1 more
Investments by region
  • China (2)
  • United Kingdom (1)
Peak activity year
2017
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
1

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
36
Avg. valuation at time of investment
1B
Group Appearance index
0.33
Strategy success index
0.33

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
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.