Perceptive Life Sciences
4
23M
4
1
- Areas of investment
Summary
The typical case for the fund is to invest in rounds with 5 participants. Despite the Perceptive Life Sciences, startups are often financed by Third Rock Ventures, Sanofi, Cowen Group. The meaningful sponsors for the fund in investment in the same round are Cowen Group, Cormorant Asset Management, Casdin Capital.
The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 10 - 50 millions dollars. The top amount of exits for fund were in 2015. The high activity for fund was in 2015.
We can highlight the next thriving fund investment areas, such as Alternative Medicine, Health Diagnostics. Among the most popular portfolio startups of the fund, we may highlight MyoKardia. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.
Investments analytics
Analytics
- Total investments
- 4
- Lead investments
- 0
- Exits
- 1
- Investments by industry
- Fitness (2)
- Wellness (2)
- Health Care (2)
- Medical (2)
- Organic Food (1) Show 8 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2002
- 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
- 5
- Avg. valuation at time of investment
- 3B
- Group Appearance index
- 1.00
- Avg. company exit year
- 8
- Avg. multiplicator
- 133.67
- 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 |
|---|---|---|---|---|---|
| Kindbody | 06 Sep 2022 | Fitness, Health Care, Wellness, Medical, Women's, Fertility | Late Stage Venture | 26M | United States, New York, New York |
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.