Winnebago Seed Fund
Venture Capital
Active
Neenah, United States
13
1M
7
2.60
2
0.46
- Areas of investment
Investor highlights
- Industry generalist
- Yes
- Industry focus
- Stage focus
- Geo focus
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Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 13
- Lead investments
- 2
- Rounds per year
- 2.60
- Follow on index
- 0.46
- Investments by industry
- Information Technology (6)
- Software (6)
- Health Care (5)
- Predictive Analytics (4)
- Information Services (4) Show 16 more
- Investments by region
-
- United States (12)
- Peak activity year
- 2018
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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
- 500K
- Group Appearance index
- 0.69
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Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
Donuts | 21 Apr 2015 | Internet, Information Technology, Enterprise Software, Web Browsers, Domain Registrar | Late Stage Venture | 54M | United States, Washington, Bellevue |
Nouvola | 15 Nov 2016 | Software, Analytics, Information Technology, SaaS, Enterprise Software, Cloud Computing, Developer Tools, iOS | Seed | 300K | United States, Oregon, Portland |
Sift Healthcare | 15 Jul 2022 | FinTech, Information Technology, Information Services, Artificial Intelligence, Health Care, Predictive Analytics | Early Stage Venture | 9M | United States, Wisconsin, Milwaukee |
Socialeads | 23 Nov 2020 | Software, Apps, Social Media | Early Stage Venture | 1M | United States, Wisconsin, Milwaukee |
Thinkfuse | 24 Mar 2011 | Software, Finance, SaaS, Collaboration, Enterprise Software | Seed | 520K | United States, Washington, Seattle |
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.