Skilpadda AS

Total investments

1

Average round size

627K

Portfolio companies

1

Rounds per year

1.00

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetInformation TechnologyInsurance

Investor highlights

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
1.00
Investments by industry
  • Information Technology (1)
  • Internet (1)
  • Insurance (1)
Investments by region
  • Norway (1)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
3
Avg. valuation at time of investment
1M
Group Appearance index
1.00

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
LifePlanner01 Dec 2020Internet, Information Technology, InsuranceSeed627KVestland, Bergen, Norway
Company nameDeal dateIndustryDeal stageDeal sizeLocation
Proxima  (formerly VantAI), a NYC-based AI-native biotech company developing AI-driven drug discovery for proximity therapeuticsJan 13, 2026AI-driven drug discovery, Machine learning, Proteomics platform-80000000 USD
a NYC-based AI-native biotech company
RelationDec 11, 2025AI, Biopharmaceutical, Bone Disease, Immunology, Metabolic Disease-26000000 USD London,
Weave BioOct 17, 2025AI-native regulatory automation management, Cloud-based software platform, Pharmaceutical companies, biotech firms, CROs, and regulatory consultants, Regulatory content preparation and lifecycle management-20000000 USD San Francisco, California
Terrain BiosciencesFeb 14, 2025AI-guided sequence design tools, Machine-learning models for RNA sequence design, RNA-based therapies and vaccines, RNA design-build, RNA manufacturing, RNA therapeutics-9000000 USD Cambridge, Massachusetts
RiPSIMOct 29, 20244G/5G Private Network Operators, Cloud-native, eSIM-as-a-Service, Microservices, Software Platform, Wireless Service ProvidersEarly stage5000000 USD Ashburn, Virginia

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How we get our data

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.