Histemi Inversiones SL
2
7M
1
0.50
- Areas of investment
Summary
The top activity for fund was in 2014. The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 5 - 10 millions dollars.
Among the various public portfolio startups of the fund, we may underline ForceManager Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most successful fund investment fields, there are Business Development, Mobile.
The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Histemi Inversiones SL, startups are often financed by Sabadell Venture Capital, Nauta Capital, Fons Enginyers. The meaningful sponsors for the fund in investment in the same round are Nauta Capital, Sabadell Venture Capital, SIE. In the next rounds fund is usually obtained by Sabadell Venture Capital, AXA Venture Partners, SIE.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Follow on index
- 0.50
- Investments by industry
- Sales Automation (2)
- CRM (2)
- Business Development (2)
- Mobile (2)
- SaaS (2)
- Investments by region
-
- Spain (2)
- Peak activity year
- 2014
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
- 10
- Group Appearance index
- 1.00
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 |
|---|---|---|---|---|---|
| ForceManager | 01 Jun 2014 | Mobile, SaaS, Business Development, CRM, Sales Automation | Early Stage Venture | 2M | Spain, Barcelona, Catalonia |
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.