Sciety
Stockholm, Sweden41
2M
25
4.10
21
0.39
8
- Stages of investment
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
- Geo focus
- Check size
- 1M — 33M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 41
- Lead investments
- 21
- Exits
- 8
- Rounds per year
- 4.10
- Follow on index
- 0.39
- Investments by industry
- Health Care (23)
- Biotechnology (20)
- Pharmaceutical (15)
- Health Diagnostics (11)
- Medical (9) Show 15 more
- Investments by region
- Sweden (40)
- Ukraine (1)
- Peak activity year
- 2020
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
- 2M
- Group Appearance index
- 0.17
- Avg. company exit year
- 9
- Avg. multiplicator
- 10.59
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 |
|---|---|---|---|---|---|
| Branchpoint Technologies | 17 Sep 2014 | Health Care, Medical Device, Medical | Early Stage Venture | 750K | United States, California, San Clemente |
| Capitainer | 15 Feb 2024 | Health Care | Early Stage Venture | 1M | Stockholm County, Stockholm, Sweden |
| Empe Diagnostics | 07 Apr 2020 | Biotechnology, Health Diagnostics, Medical Device, Pharmaceutical | Early Stage Venture | 2M | Stockholm County, Sweden, Sweden |
| HATCHER+ | 04 May 2020 | Venture Capital, FinTech, Artificial Intelligence, Machine Learning, Big Data, Incubators | Early Stage Venture | 5M | Central, Singapore, Singapore |
Similar funds
By same location
By same geo focus
By doing lead investments
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.