Chiba Drone Investment (Drone Fund)

Total investments

1

Average round size

19M

Portfolio companies

1

Exits

1

Areas of investment
RoboticsAerospaceManufacturingDronesDrone Management

Summary

The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2018.

The standard case for the fund is to invest in rounds with 3 partakers. Despite the Chiba Drone Investment (Drone Fund), startups are often financed by Tsukasa Electric, Harada Bussan Kaisha, UTEC- University of Tokyo Edge Capital. The meaningful sponsors for the fund in investment in the same round are iGlobe Partners, UTEC- University of Tokyo Edge Capital, Mizuho Capital. In the next rounds fund is usually obtained by Draper Nexus Ventures, DBJ Capital, Archetype Ventures.

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Autonomous Control Systems Laboratory. Among the most successful fund investment fields, there are Drone Management, Drones.

Show more

Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Investments by industry
  • Aerospace (1)
  • Drone Management (1)
  • Drones (1)
  • Manufacturing (1)
  • Robotics (1)
Investments by region
  • Japan (1)
Peak activity year
2018

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
Group Appearance index
1.00

Need more data?

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

Latest deals

Company name Deal date Industry Deal stage Deal size Location
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.