PruVen Capital

Palo Alto, United States
Venture Capital
Active
Total investments

19

Average round size

60M

Portfolio companies

16

Rounds per year

4.75

Follow on index

0.16

Areas of investment
Real EstateSoftwareFinancial ServicesFinTechInformation TechnologyHealth CareEnterprise SoftwareHealth InsuranceInsuranceInsurTech

Investor highlights

Industry focus
FintechInsurtechHealthcareB2B/EnterpriseProptech/Real Estate Show 5 more
Stage focus
GeneralistPre-SeedSeedSeries ASeries B Show 3 more

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Investments analytics

Analytics

Total investments
19
Lead investments
0
Rounds per year
4.75
Follow on index
0.16
Investments by industry
  • Insurance (8)
  • InsurTech (5)
  • Health Care (5)
  • FinTech (4)
  • Software (4)
  • Show 37 more
Investments by region
  • United States (16)
  • Brazil (2)
  • Indonesia (1)
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
5
Avg. valuation at time of investment
128M
Group Appearance index
1.00
Strategy success index
0.20

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Clever Care Health Plan Inc.15 Mar 2023Health Care, Health Insurance, InsuranceLate Stage Venture42MUnited States, California
Deed09 Dec 2021Enterprise Software, Communities, Social Impact, Cause MarketingEarly Stage Venture10MUnited States, New York, New York
Company nameDeal dateIndustryDeal stageDeal sizeLocation
AgileRL , a London, UK-based startup accelerating the development of reinforcement learning for training AI modelsJul 1, 2026Machine Learning, Reinforcement Learning, RLOps Platform-7500000 USD
UK-based startup accelerating the development of reinforcement learning for training AI models, a London
AIRIAJul 30, 2025Enterprise, Government, Operational AI, Spatial Intelligence-- New York
EydisBioAug 30, 2024Autoimmune Diseases, Inflammatory Diseases, Pharmaceutical, TAK1 Inhibitors-2600000 USD Durham, North Carolina
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.