Mithril Capital Management
Venture Capital
Active
Austin, United States
67
83M
33
5.58
16
0.51
6
- Stages of investment
- Areas of investment
Summary
Mithril Capital Management is the famous VC, which was founded in 2012. The main department of described VC is located in the San Francisco. The venture was found in North America in United States.
The top activity for fund was in 2014. Deals in the range of 50 - 100 millions dollars are the general things for fund. Comparing to the other companies, this Mithril Capital Management performs on 20 percentage points less the average number of lead investments. The top amount of exits for fund were in 2019. The typical startup value when the investment from Mithril Capital Management is more than 1 billion dollars. Considering the real fund results, this VC is 27 percentage points more often commits exit comparing to other organizations. The fund is constantly included in 2-6 deals per year.
The fund has no exact preference in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most successful fund investment fields, there are Biotechnology, SaaS. Among the most popular portfolio startups of the fund, we may highlight Palantir Technologies, Auris Health, Inc., AppDirect.
The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Mithril Capital Management, startups are often financed by Desmarais Group, Accel, iNovia Capital. The meaningful sponsors for the fund in investment in the same round are Lux Capital, Bessemer Venture Partners, Union Square Ventures. In the next rounds fund is usually obtained by Bessemer Venture Partners, Temasek Holdings, Union Square Ventures.
This organization was formed by Ajay Gopal Royan, Peter Thiel. Besides them, we counted 6 critical employees of this fund in our database.
Investor highlights
- Industry generalist
- Yes
- Industry focus
- Stage focus
- Geo focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 850000000
- Fund raised date
- 2017-01-19
Analytics
- Total investments
- 67
- Lead investments
- 16
- Exits
- 6
- Rounds per year
- 5.58
- Follow on index
- 0.51
- Investments by industry
- Health Care (15)
- Enterprise Software (15)
- Software (14)
- Medical Device (13)
- Financial Services (13) Show 71 more
- Investments by region
-
- United States (45)
- Singapore (7)
- United Kingdom (4)
- Israel (3)
- India (2) Show 2 more
- Peak activity year
- 2014
- Number of Unicorns
- 6
- Number of Decacorns
- 7
- Number of Minotaurs
- 2
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
- 10
- Avg. valuation at time of investment
- 1B
- Group Appearance index
- 0.94
- Avg. company exit year
- 8
- Avg. multiplicator
- 1.37
- 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 |
---|---|---|---|---|---|
Glance | 22 Dec 2020 | Internet, Mobile, Artificial Intelligence, Mobile Apps, Personalization | Late Stage Venture | 145M | Central, Singapore, Singapore |
Treasure Card | 25 Sep 2020 | EdTech, Education, Debit Cards | Seed | 3M | Ontario, Toronto, Canada |
Similar funds
By same location
By same geo focus
By doing lead investments
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.