Propagator Ventures

Type

Venture Capital

Status

Active

Total investments

7

Average round size

12M

Portfolio companies

6

Follow on index

0.14

Areas of investment
BiotechnologyInformation TechnologyArtificial IntelligenceMachine LearningRoboticsComputerAgTechChemicalIndustrialAgriculture

Summary

Moreover, a startup needs to be at the age of 1 and less years to get the investment from the fund. Among the most popular fund investment industries, there are Chemical, Industrial. Among the most popular portfolio startups of the fund, we may highlight Kebotix.

The standard case for the fund is to invest in rounds with 6 partakers. The meaningful sponsors for the fund in investment in the same round are WorldQuant Ventures LLC, One Way Ventures, Flybridge Capital Partners.

The high activity for fund was in 2018. The common things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

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Investor highlights

Industry focus
AI/Big DataBiotech/Life SciencesDeep TechHardwareSemiconductors Show 4 more
Stage focus
Series ASeries B

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Investments analytics

Analytics

Total investments
7
Lead investments
0
Follow on index
0.14
Investments by industry
  • Artificial Intelligence (4)
  • Information Technology (2)
  • Industrial (2)
  • Chemical (2)
  • Machine Learning (2)
  • Show 10 more
Investments by region
  • United States (3)
  • Norway (1)
  • United Kingdom (1)
  • Japan (1)
  • Denmark (1)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
5
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
KOALA Tech Japan 19 Dec 2023 Information Services, Data Integration, Business Information Systems Early Stage Venture 3M Fukuoka, Fukuoka Prefecture, Japan
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.