Sanari Capital

Total investments

5

Average round size

4M

Portfolio companies

5

Rounds per year

0.56

Lead investments

2

Areas of investment
InternetSoftwareInformation TechnologyManufacturingElectronicsInternet of ThingsOpen SourceRisk ManagementSensorMechanical Engineering

Summary

In 2013 was created Sanari Capital, which is appeared as VC.

Among the most successful fund investment fields, there are Software, Information Technology. Among the most popular portfolio startups of the fund, we may highlight Snapt. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 1 - 5 millions dollars. The top activity for fund was in 2018. Considering the real fund results, this VC is 47 percentage points more often commits exit comparing to other organizations.

The usual cause for the fund is to invest in rounds with 2 partakers. Despite the Sanari Capital, startups are often financed by 4Di Capital, Convergence Partners. The meaningful sponsors for the fund in investment in the same round are Nedbank, Convergence Partners, 4Di Capital.

Besides them, we counted 3 critical employees of this fund in our database.

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Investments analytics

Analytics

Total investments
5
Lead investments
2
Rounds per year
0.56
Investments by industry
  • Information Technology (2)
  • Manufacturing (2)
  • Open Source (1)
  • Software (1)
  • Internet of Things (1)
  • Show 8 more
Investments by region
  • South Africa (3)
  • United States (1)
  • New Zealand (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
11
Group Appearance index
0.60

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
iiDENTIFii 28 Sep 2022 Information Technology, Identity Management, Facial Recognition Early Stage Venture 15M Western Cape, Cape Town, South Africa
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.