Two Oceans
2
2M
2
1
- Stages of investment
- Areas of investment
Summary
The venture was found in Australia. The main office of represented VC is situated in the Sydney.
The high activity for fund was in 2013. The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars.
Among the most successful fund investment fields, there are Industrial, Incubators. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight ZeaKal.
The typical case for the fund is to invest in rounds with 2-3 participants. The meaningful sponsors for the fund in investment in the same round are Missouri Soybean, Kapyon Ventures, Finistere Ventures. In the next rounds fund is usually obtained by Middleland Capital, Finistere Ventures, Canopy Rivers.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Exits
- 1
- Investments by industry
- Biotechnology (2)
- Incubators (1)
- AgTech (1)
- Agriculture (1)
- Industrial (1) Show 1 more
- Investments by region
-
- United States (2)
- Peak activity year
- 2013
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
- 10
- Group Appearance index
- 0.50
- Avg. company exit year
- 4
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 |
---|---|---|---|---|---|
Algenetix | 02 Apr 2013 | Biotechnology, Chemical, Industrial | Early Stage Venture | 2M | United States, California, San Diego |
Similar funds
By same location
By same geo focus
By doing lead investments
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.