Salesforce Ventures
Venture Capital
Active
San Francisco, United States
775
48M
478
51.67
98
0.38
106
- Stages of investment
- Areas of investment
Summary
Salesforce Ventures appeared to be the VC, which was created in 2009. The main department of described VC is located in the San Francisco. The company was established in North America in United States. Salesforce Ventures seemed to be an CVC arrangement as part of the organization.
Besides them, we counted 2 critical employees of this fund in our database.
Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is generally included in 25-48 deals every year. Speaking about the real fund results, this VC is 2 percentage points less often commits exit comparing to other organizations. The average startup value when the investment from Salesforce Ventures is 500 millions - 1 billion dollars. The top amount of exits for fund were in 2018. The important activity for fund was in 2019. This Salesforce Ventures works on 10 percentage points less the average amount of lead investments comparing to the other organizations.
Among the most popular portfolio startups of the fund, we may highlight Infor, Dropbox, MuleSoft. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. Among the most popular fund investment industries, there are SaaS, Enterprise Software. The fund has no specific favorite in a number of founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager.
The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Salesforce Ventures, startups are often financed by Trinity Ventures, Kleiner Perkins, HWVP, Hummer Winblad Venture Partners. The meaningful sponsors for the fund in investment in the same round are Shasta Ventures, Meritech Capital Partners, ICONIQ Capital. In the next rounds fund is usually obtained by Mayfield Fund, Goldman Sachs, Cisco Investments.
Investor highlights
- Industry focus
- Stage focus
- Geo focus
- Check size
- 1M — 100M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Last fund
- Fund size
- USD 250000000
- Fund raised date
- 2023-06-12
Analytics
- Total investments
- 775
- Lead investments
- 98
- Exits
- 106
- Rounds per year
- 51.67
- Follow on index
- 0.38
- Investments by industry
- Software (429)
- SaaS (249)
- Enterprise Software (185)
- Information Technology (185)
- Artificial Intelligence (98) Show 311 more
- Investments by region
-
- United States (483)
- Israel (31)
- Canada (32)
- United Kingdom (37)
- Australia (34) Show 22 more
- Peak activity year
- 2021
- Number of Unicorns
- 78
- Number of Decacorns
- 84
- Number of Minotaurs
- 19
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
- 784M
- Group Appearance index
- 0.85
- Avg. company exit year
- 9
- Avg. multiplicator
- 4.05
- 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 |
---|---|---|---|---|---|
Atlan | 19 Mar 2024 | Software, Information Technology, Big Data, Data Integration, Database | Early Stage Venture | 27M | Central, Singapore, Singapore |
Mistral AI | 11 Jun 2024 | Early Stage Venture | 552M | Ile-de-France, Paris, France |
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.