Altimeter
Venture Capital
Active
Boston, United States
94
287M
63
5.88
17
0.31
16
- Stages of investment
- Areas of investment
Summary
Altimeter Capital is the famous VC, which was founded in 2008. The leading representative office of defined VC is situated in the Menlo Park. The fund was located in North America if to be more exact in United States.
Among the most successful fund investment fields, there are Marketplace, Cloud Computing. The fund has exact preference in some founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little. Among the most popular portfolio startups of the fund, we may highlight Uber, Toutiao, Airbnb. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Besides, a startup needs to be aged 6-10 years to get the investment from the fund.
The standard case for the fund is to invest in rounds with 6-7 partakers. Despite the Altimeter Capital, startups are often financed by Redpoint, Sutter Hill Ventures, Andreessen Horowitz. The meaningful sponsors for the fund in investment in the same round are Redpoint, Tencent Holdings, T. Rowe Price. In the next rounds fund is usually obtained by Sequoia Capital, T. Rowe Price, General Catalyst.
The real fund results show that this VC is 1 percentage points more often commits exit comparing to other companies. The fund is constantly included in 2-6 investment rounds annually. The top activity for fund was in 2015. Despite it in 2019 the fund had an activity. When the investment is from Altimeter Capital the average startup value is more than 1 billion dollars. Deals in the range of more than 100 millions dollars are the general things for fund. The increased amount of exits for fund were in 2017. Opposing the other organizations, this Altimeter Capital works on 11 percentage points less the average amount of lead investments.
This organization was formed by Brad Gerstner. Besides them, we counted 8 critical employees of this fund in our database.
Investor highlights
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 94
- Lead investments
- 17
- Exits
- 16
- Rounds per year
- 5.88
- Follow on index
- 0.31
- Investments by industry
- Software (29)
- SaaS (18)
- Enterprise Software (16)
- Analytics (14)
- Cloud Computing (14) Show 118 more
- Investments by region
-
- United States (81)
- India (5)
- China (1)
- Germany (3)
- United Kingdom (1)
- Peak activity year
- 2021
- Number of Unicorns
- 26
- Number of Decacorns
- 38
- Number of Minotaurs
- 22
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
- 10B
- Group Appearance index
- 0.98
- Avg. company exit year
- 14
- Avg. multiplicator
- 3.12
- Strategy success 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 |
---|---|---|---|---|---|
LiveKit | 13 Mar 2024 | Mobile Apps, Real Time, Video Streaming | Early Stage Venture | 22M | United States, California, Saratoga |
Retinai | 06 Dec 2017 | Software, Information Technology, Artificial Intelligence, Machine Learning, Health Care, Health Diagnostics, Cloud Computing | Seed | 109K | Switzerland, Bern, Bern |
Sigma Computing | 16 Dec 2021 | Internet, Analytics, Information Technology, Information Services, Business Intelligence | Late Stage Venture | 300M | United States, California, San Francisco |
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.