Parkway VC
Venture Capital
Active
New York, United States
32
78M
24
6.40
3
0.25
2
- Areas of investment
Investor highlights
- Industry focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 60000000
- Fund raised date
- 2021-07-01
Analytics
- Total investments
- 32
- Lead investments
- 3
- Exits
- 2
- Rounds per year
- 6.40
- Follow on index
- 0.25
- Investments by industry
- Software (13)
- SaaS (10)
- Artificial Intelligence (10)
- Information Technology (6)
- Logistics (5) Show 62 more
- Investments by region
-
- United States (27)
- China (1)
- United Kingdom (2)
- Switzerland (1)
- Israel (1)
- Peak activity year
- 2023
- Number of Unicorns
- 2
- Number of Decacorns
- 4
- Number of Minotaurs
- 5
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
- 3B
- Group Appearance index
- 0.59
- Avg. company exit year
- 4
- Strategy success index
- 0.20
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 |
|---|---|---|---|---|---|
| Fangcun Wuzi | 11 Jun 2015 | Real Estate, Financial Services, Consumer | Seed | 463K | Beijing, Dongcheng District, China |
| Figure | 29 Feb 2024 | Artificial Intelligence | Early Stage Venture | 675M | United States, California, Sunnyvale |
| r4 Technologies | 02 Apr 2019 | Software, Information Technology, Artificial Intelligence, SaaS, Big Data, Cloud Data Services | Early Stage Venture | 20M | United States, Connecticut |
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.