Uncorrelated Ventures
Venture Capital
Active
San Francisco, United States
118
17M
89
23.60
5
0.25
- Stages of investment
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 315000000
- Fund raised date
- 2024-01-30
Analytics
- Total investments
- 118
- Lead investments
- 5
- Rounds per year
- 23.60
- Follow on index
- 0.25
- Investments by industry
- Software (56)
- Information Technology (29)
- FinTech (22)
- Financial Services (20)
- Internet (14) Show 91 more
- Investments by region
-
- United States (81)
- India (12)
- United Kingdom (3)
- Singapore (4)
- Canada (5) Show 4 more
- Peak activity year
- 2021
- Number of Unicorns
- 6
- Number of Decacorns
- 6
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
- 4
- Avg. valuation at time of investment
- 186M
- Group Appearance index
- 0.98
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 |
|---|---|---|---|---|---|
| Autify | 17 Jun 2024 | Software, Analytics, Information Technology, Artificial Intelligence, Machine Learning, Telecommunications | Early Stage Venture | 13M | United States, California, San Francisco |
| Radiant Security | 14 Nov 2023 | Software, Information Technology, Cyber Security | Early Stage Venture | 15M | United States, California, San Francisco |
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.