Piva Capital

San Francisco, United States
Active
Total investments

21

Average round size

46M

Portfolio companies

17

Rounds per year

4.20

Lead investments

6

Follow on index

0.19

Areas of investment
BiotechnologyInformation TechnologyManufacturingBuilding MaterialSemiconductorCleanTechElectronicsAgTechAgricultureOrganic

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
Series DSeries ASeries ESeries FSeries B Show 1 more
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 39 more

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
21
Lead investments
6
Rounds per year
4.20
Follow on index
0.19
Investments by industry
  • Manufacturing (7)
  • Biotechnology (3)
  • CleanTech (3)
  • Electronics (3)
  • Information Technology (3)
  • Show 47 more
Investments by region
  • United States (19)
  • Germany (1)
  • India (1)
Peak activity year
2023

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
14M
Group Appearance index
0.90

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
INERATEC16 Jan 2024Energy, Renewable Energy, Chemical Engineering, Environmental EngineeringEarly Stage Venture139MBaden-Wurttemberg, Karlsruhe, Germany
SocialSign.in15 Mar 2015Retail, Restaurants, HospitalitySeed1MUnited States, New York, New York
Urbint18 Jun 2020Infrastructure, Artificial Intelligence, Machine Learning, Construction, Telecommunications, Predictive Analytics, Oil and GasEarly Stage Venture34MUnited States, New York, New York
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.