V Ocean Investments
3
26M
3
- Areas of investment
Summary
The typical case for the fund is to invest in rounds with 5 participants. Despite the V Ocean Investments, startups are often financed by Bhupinder Singh, Ranjan Pai, Paragon Partners, India. The meaningful sponsors for the fund in investment in the same round are Vistra ITCL, Moore Strategic Ventures, FMO. In the next rounds fund is usually obtained by Vishal Arvind Kapoor, StarWorld Wide Group, Srinivasan Seshadrinathan.
Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight InCred. We can highlight the next thriving fund investment areas, such as Banking, Financial Services.
The fund is constantly included in less than 2 deals per year. Deals in the range of 50 - 100 millions dollars are the general things for fund. The top activity for fund was in 2019.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Investments by industry
- Financial Services (2)
- FinTech (2)
- Food Processing (1)
- Food Delivery (1)
- Food and Beverage (1) Show 8 more
- Investments by region
-
- India (3)
- Peak activity year
- 2022
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
- 132M
- 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 |
---|---|---|---|---|---|
CredAble | 29 Oct 2020 | Supply Chain Management, Financial Services, FinTech, Information Technology, E-Learning, Machine Learning | Early Stage Venture | 4M | Maharashtra, Mumbai, India |
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.