Blockchers
18
28K
16
4.50
2
0.06
- Stages of investment
- Areas of investment
Summary
In 2019 was created Blockchers, which is appeared as Corporate Investor.
This organization was formed by Miguel Garcia.
The standard case for the fund is to invest in rounds with 1-2 partakers. Despite the Blockchers, startups are often financed by Cuatrecasas Ventures, Randstad Innovation Fund, Caixa Capital Risc. The meaningful sponsors for the fund in investment in the same round are Lanzadera Accelerator.
The high activity for fund was in 2019. The fund is generally included in 2-6 deals every year. Deals in the range of less than 50 thousands dollars are the general things for fund.
Among the most popular portfolio startups of the fund, we may highlight Validated ID. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Identity Management, Legal Tech.
Investments analytics
Analytics
- Total investments
- 18
- Lead investments
- 2
- Rounds per year
- 4.50
- Follow on index
- 0.06
- Investments by industry
- Blockchain (11)
- Information Technology (6)
- Software (4)
- FinTech (3)
- Sharing Economy (2) Show 37 more
- Investments by region
-
- Italy (2)
- Bulgaria (1)
- Spain (5)
- Belgium (2)
- Switzerland (1) Show 6 more
- Peak activity year
- 2019
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
- 5
- Avg. valuation at time of investment
- 868K
- Group Appearance index
- 0.22
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 |
---|---|---|---|---|---|
Mimirium | 15 Jul 2018 | Software, Mobile, Big Data, Blockchain, Data Mining | Seed | 236K | Bulgaria, Varna |
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.