Avestria Ventures
Venture Capital
Active
San Francisco, United States
17
10M
11
3
0.35
1
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
Preferences and restrictions
- Requirements for founders
- Female
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 17
- Lead investments
- 3
- Exits
- 1
- Follow on index
- 0.35
- Investments by industry
- Health Care (14)
- Medical (10)
- Medical Device (7)
- Biotechnology (4)
- Women's (3) Show 11 more
- Investments by region
-
- United States (16)
- France (1)
- Peak activity year
- 2021
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
- 6
- Avg. valuation at time of investment
- 24M
- Group Appearance index
- 0.94
- Avg. company exit year
- 10
- Avg. multiplicator
- 9.92
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 |
|---|---|---|---|---|---|
| AOA | 28 Jun 2021 | Biotechnology, Health Care, Health Diagnostics | Seed | 2M | United States, Massachusetts, Boston |
| Axena Health | 04 Jun 2024 | Hospital, Manufacturing, Medical Device, Medical | Early Stage Venture | 9M | United States, Massachusetts, Newton |
| C. Meyers Feldman & Co | 01 Apr 2020 | Financial Services, Insurance, Billing | Seed | 250K | United States, Florida, Naples |
| Nova Credit | 11 Sep 2016 | Financial Services, FinTech, Information Technology, Consumer, Data Integration, Credit, Credit Bureau | Seed | United States, California, San Francisco | |
| Wellversed Health | 22 Feb 2021 | Food and Beverage, Fitness, Health Care, Personal Health, Nutrition, Dietary Supplements | Seed | 100K | Delhi, Delhi, India |
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.