Ascot Underwriting
1
6M
1
0.05
- Areas of investment
Summary
Ascot Underwriting appeared to be the Corporate Investor, which was created in 2001. The leading representative office of defined Corporate Investor is situated in the London. The fund was located in Europe if to be more exact in United Kingdom.
The typical case for the fund is to invest in rounds with 4 participants. The meaningful sponsors for the fund in investment in the same round are Syngenta Ventures, Baloise Strategic Ventures, Anthemis Group.
For fund there is a match between the location of its establishment and the land of its numerous investments - United Kingdom. Among the most popular portfolio startups of the fund, we may highlight Stable. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most successful fund investment fields, there are FinTech, Insurance.
The fund is constantly included in less than 2 investment rounds annually. The top activity for fund was in 2019. The usual things for fund are deals in the range of 5 - 10 millions dollars.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Rounds per year
- 0.05
- Investments by industry
- Risk Management (1)
- InsurTech (1)
- FinTech (1)
- Insurance (1)
- Investments by region
-
- United Kingdom (1)
- Peak activity year
- 2019
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
- Group Appearance index
- 1.00
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 |
|---|---|---|---|---|---|
| Stable | 01 Jun 2019 | FinTech, Insurance, InsurTech, Risk Management | Seed | 6M | United Kingdom, London, England |
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.