Tamer Group
3
70M
3
- Areas of investment
Summary
Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Mumzworld, SIGFOX We can highlight the next thriving fund investment areas, such as Internet of Things, Wireless.
The usual cause for the fund is to invest in rounds with 8-9 partakers. Despite the Tamer Group, startups are often financed by Intel Capital, Elaia, Partech. The meaningful sponsors for the fund in investment in the same round are Wamda Capital, Total Ventures, Swicorp. In the next rounds fund is usually obtained by Tech Invest Com, Khazanah Nasional.
The average startup value when the investment from Tamer Group is 100-500 millions dollars. The fund is constantly included in less than 2 investment rounds annually. Deals in the range of 50 - 100 millions dollars are the general things for fund. The top activity for fund was in 2018.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Investments by industry
- E-Commerce (2)
- Internet of Things (1)
- Wireless (1)
- Telecommunications (1)
- Supply Chain Management (1) Show 7 more
- Investments by region
-
- France (1)
- United Arab Emirates (2)
- Peak activity year
- 2016
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
- 11
- Avg. valuation at time of investment
- 263M
- Group Appearance index
- 1.00
- Strategy success index
- 0.30
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 |
|---|---|---|---|---|---|
| Mumzworld | 02 Oct 2018 | E-Commerce, Online Portals, Lifestyle, Marketplace, Shopping | Early Stage Venture | 20M | United Arab Emirates, Dubai, United Arab Emirates |
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.