Ripio

San Francisco, United States
Total investments

4

Average round size

24M

Portfolio companies

3

Rounds per year

0.40

Follow on index

0.25

Areas of investment
E-CommerceFinancial ServicesFinTechInformation TechnologyFinanceCryptocurrencyBlockchain

Investor highlights

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Investments analytics

Analytics

Total investments
4
Lead investments
0
Rounds per year
0.40
Follow on index
0.25
Investments by industry
  • FinTech (3)
  • Cryptocurrency (3)
  • Blockchain (3)
  • Financial Services (2)
  • Information Technology (2)
  • Show 2 more
Investments by region
  • United States (3)
  • Argentina (1)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
2
Avg. valuation at time of investment
8M
Group Appearance index
1.00

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Securitize21 Jun 2021Financial Services, FinTech, Information Technology, Finance, Cryptocurrency, BlockchainEarly Stage Venture48MUnited States, California, San Francisco
Company nameDeal dateIndustryDeal stageDeal sizeLocation
Chiral , a Zurich, Switzerland-based nanotechnology company developingsemiconductor and quantum technologies with nanomaterialsJun 2, 2026Nanotechnology, Quantum Technologies, Semiconductor-12000000 USD
Switzerland-based nanotechnology company developingsemiconductor and quantum technologies with nanomaterials, a Zurich
LenduraiJun 6, 2025GPS-denied operations, Tactical autonomous UAVsEarly stage5570000 EUR Tallinn,
KyronMay 29, 2025autoimmune diseases, cancer, glycan engineering, infectious diseases, therapeutic proteins-5500000 EUR Paris,
Cosmic RoboticsApr 21, 2025Autonomous Systems, Robotics, Solar Construction-4000000 USD San Francisco, California
Alpine EagleMar 6, 2025advanced sensors, Advanced Sensors, air-to-air counter-drone system, computer vision, Computer Vision, Counter-Drone System, defence tech, Defence Tech, machine learning, Machine Learning-10250000 EUR Munich, Bavaria
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.