Aspenwood Ventures
3
65M
3
1.50
- Areas of investment
Investor highlights
- Stage focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 70000000
- Fund raised date
- 2021-07-19
Analytics
- Total investments
- 3
- Lead investments
- 0
- Rounds per year
- 1.50
- Investments by industry
- Analytics (2)
- Information Technology (2)
- Software (1)
- Machine Learning (1)
- Medical (1) Show 5 more
- Investments by region
- United States (2)
- Peak activity year
- 2022
- Number of Unicorns
- 1
- Number of Decacorns
- 1
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
- 433M
- Group Appearance index
- 1.00
- Strategy success index
- 0.60
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 |
|---|---|---|---|---|---|
| Kloudfuse | 06 Nov 2023 | Early Stage Venture | 17M |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Autonomize AI | Jun 13, 2025 | AI, AI-driven healthcare solutions, Copilot services, Healthcare, Life Sciences | - | 28000000 USD | |
| Outcomes4Me | May 30, 2025 | AI, Healthcare, Patient Empowerment Platform | - | 21000000 USD | |
| Autonomize AI | Feb 5, 2023 | AI, AI-driven healthcare solutions, Copilot services, Healthcare, Life Sciences | Early stage | 4000000 USD | |
| SubjectWell | Oct 20, 2022 | Audience Engagement Platform, Chronic Health Conditions, Clinical Research, Healthcare, Patient Access Marketplace, Patient Recruitment, Pharmaceutical Engagement | Early Growth stage | 35000000 USD |
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.