Kichi Invest
14
5M
11
4
0.21
1
- Areas of investment
Summary
Among the most popular portfolio startups of the fund, we may highlight Starflow, Epidemic Sound, Barnebys. We can highlight the next thriving fund investment areas, such as Art, Music Streaming. Besides, a startup needs to be aged 1 and less years to get the investment from the fund.
The fund is generally included in 2-6 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars. Speaking about the real fund results, this VC is 13 percentage points more often commits exit comparing to other organizations. The top activity for fund was in 2017.
The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Kichi Invest, startups are often financed by Industrifonden, Active Venture Partners, Inbox Capital. The meaningful sponsors for the fund in investment in the same round are Industrifonden, Bo Mattsson, Almi Invest. In the next rounds fund is usually obtained by EQT, SEB (Skandinaviska Enskilda Banken), Per Morberg.
Investments analytics
Analytics
- Total investments
- 14
- Lead investments
- 4
- Exits
- 1
- Follow on index
- 0.21
- Investments by industry
- Apps (2)
- Internet (2)
- Advertising (2)
- Social Media Marketing (2)
- Content (2) Show 33 more
- Investments by region
-
- Sweden (13)
- Spain (1)
- Peak activity year
- 2017
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
- Avg. valuation at time of investment
- 152M
- Group Appearance index
- 0.57
- Avg. company exit year
- 7
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 |
---|---|---|---|---|---|
Estrid | 06 Dec 2020 | E-Commerce, Personal Health, Women's | Seed | 18M | Stockholm County, Stockholm, Sweden |
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.