Wellington Capital Management
3
69M
3
2
2
- Areas of investment
Summary
The common things for fund are deals in the range of 50 - 100 millions dollars. The higher amount of exits for fund were in 2016. The fund is generally included in less than 2 deals every year. The high activity for fund was in 2018.
Among the most popular portfolio startups of the fund, we may highlight Braeburn, CRISPR Therapeutics. Among the most successful fund investment fields, there are Pharmaceutical, Genetics. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.
We also calculated 2 valuable employees in our database.
The typical case for the fund is to invest in rounds with 5-6 participants. Despite the Wellington Capital Management, startups are often financed by Versant Ventures. The meaningful sponsors for the fund in investment in the same round are New Leaf Venture Partners, Rock Springs Capital, RA Capital Management.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 2
- Exits
- 2
- Investments by industry
- Biotechnology (2)
- Health Care (1)
- Medical Device (1)
- Pharmaceutical (1)
- Genetics (1) Show 3 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2016
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
- 11
- Group Appearance index
- 0.67
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 |
|---|---|---|---|---|---|
| CRISPR Therapeutics | 24 Jun 2016 | Biotechnology, Genetics, Medical, Biopharma | Early Stage Venture | 38M | United States, Massachusetts, Cambridge |
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.