super{set}
Corporate investor
Active
San Francisco, United States
22
5M
15
4.40
3
0.32
- Stages of investment
- Areas of investment
Summary
super{set} venture studio appeared to be the VC, which was created in 2018. The company was established in North America in United States. The main department of described VC is located in the San Francisco.
The current fund was established by Tom Chavez, Vivek Vaidya.
We can highlight the next thriving fund investment areas, such as Enterprise Software, Text Analytics. For fund there is a 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 Spectrum Labs.
Investor highlights
- Geo focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 22
- Lead investments
- 3
- Rounds per year
- 4.40
- Follow on index
- 0.32
- Investments by industry
- Software (14)
- Enterprise Software (6)
- Marketing Automation (4)
- Machine Learning (4)
- Internet (3) Show 22 more
- Investments by region
-
- United States (21)
- Peak activity year
- 2020
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
- 3
- Group Appearance index
- 0.32
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 |
---|---|---|---|---|---|
Habu | 01 Nov 2019 | Marketing Automation, Enterprise Software, Digital Marketing | Seed | United States, California, San Francisco | |
RevAmp | 01 May 2023 | Software, Analytics, Marketing, CRM | Seed | 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.