Porsche Digital
4
7M
4
0.67
- Areas of investment
Investor highlights
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Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 4
- Lead investments
- 0
- Rounds per year
- 0.67
- Investments by industry
- Automotive (2)
- Education (1)
- Real Estate (1)
- Health Care (1)
- Service Industry (1) Show 14 more
- Investments by region
- United States (1)
- Germany (2)
- Switzerland (1)
- Peak activity year
- 2022
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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
- 4
- Group Appearance index
- 0.50
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Denizen | 01 Apr 2022 | Communities, Coworking, Commercial Real Estate, Hospitality | Seed | 2M | Berlin, Berlin, Germany |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Bits was founded in 2022 by Jonatan Klintberg (CEO), Fredrik Eriksson (CCO), and Robin Lantz (CPO), former employees of Klarna, AWS, and Tink, to address the challenges posed by fragmented compliance systems when scaling fintech products in Europe. | Feb 2, 2026 | Compliance Platform, KYC and KYB, Regulatory Technology | - | 12000000 EUR | the Stockholm-based company raised €12 million in Series A funding to make AML and compliance simpler across Europe. |
| Two | Jul 11, 2025 | AI, B2B, B2B payments, Embedded deferred payment capabilities, Platform | - | 13000000 EUR |  Oslo |
| Modash | Jan 21, 2025 | Creator partnerships platform, Influencer marketing | Early stage | 12000000 USD |  Tallinn |
| DecoverAI | Jun 30, 2024 | AI, Case Strategy Development, eDiscovery, Legal Research, Legal Technology | Early stage | 2000000 USD |  Washington, District of Columbia |
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.