Capelin Ventures
Stockholm, Sweden1
1M
1
- Stages of investment
- Areas of investment
Investor highlights
- Stage focus
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Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Software (1)
- SaaS (1)
- Investments by region
- Sweden (1)
- Peak activity year
- 2023
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Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 3
- Group Appearance index
- 1.00
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Taggr AB | 20 Jun 2023 | Software, SaaS | Seed | 1M | Södermanland, Stockholm, Sweden |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| JobGet | Jun 23, 2022 | App-first platform, Customer service, Employment, Food service, Healthcare, Hiring Platform, Hospitality, Job Matching, Job Platform, Manufacturing, Marketplace, Mobile App, Mobile-first job platform, Recruitment, Restaurants, Retail, Transportation, Warehouse | Growth stage | 52000000 USD |  Boston, Massachusetts |
| Swing Therapeutics | Jun 17, 2022 | Autoimmune Conditions, Chronic Overlapping Pain Conditions, Digital Therapeutics, Fibromyalgia Management | Early stage | 10300000 USD | San Francisco, California |
| Sounding Board | Dec 2, 2021 | Leadership Coaching, Technology | Mid stage | 30000000 USD | Aliso Viejo, California |
| Magnus Medical | Oct 29, 2021 | Medical Devices, Mental Health, Neuromodulation, Neurostimulation Technology | Early stage | 25000000 USD | Burlingame, California |
| Magnus Medical | Feb 11, 2021 | Medical Devices, Mental Health, Neuromodulation, Neurostimulation Technology | Early stage | 25000000 USD | Burlingame, California |
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.