M12

Total investments

301

Average round size

35M

Portfolio companies

150

Rounds per year

37.62

Lead investments

38

Follow on index

0.50

Exits

17

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareBig DataCyber SecuritySecurity

Summary

In 2016 was created M12, which is appeared as VC. The leading representative office of defined VC is situated in the San Francisco. The venture was found in North America in United States. M12 appeared to be a CVC structure as part of the corporation.

The fund has no exact preference in some founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. 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 successful fund investment fields, there are Enterprise Software, Machine Learning. Among the most popular portfolio startups of the fund, we may highlight Livongo, Outreach, Applied Intuition.

Besides them, we counted 6 critical employees of this fund in our database.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the M12, startups are often financed by Kleiner Perkins, Salesforce Ventures, Plug and Play. The meaningful sponsors for the fund in investment in the same round are Trinity Ventures, Salesforce Ventures, Kleiner Perkins. In the next rounds fund is usually obtained by Trinity Ventures, Sapphire Ventures, Salesforce Ventures.

When the investment is from M12 the average startup value is 100-500 millions dollars. Opposing the other organizations, this M12 works on 23 percentage points less the average amount of lead investments. Deals in the range of 10 - 50 millions dollars are the general things for fund. The increased amount of exits for fund were in 2019. Speaking about the real fund results, this VC is 16 percentage points more often commits exit comparing to other organizations. The fund is constantly included in 13-24 deals per year. The important activity for fund was in 2018.

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Investments analytics

Analytics

Total investments
301
Lead investments
38
Exits
17
Rounds per year
37.62
Follow on index
0.50
Investments by industry
  • Software (139)
  • Artificial Intelligence (99)
  • Machine Learning (80)
  • SaaS (64)
  • Information Technology (60)
  • Show 195 more
Investments by region
  • United States (197)
  • Israel (35)
  • Brazil (4)
  • United Kingdom (19)
  • Australia (4)
  • Show 14 more
Peak activity year
2020
Number of Unicorns
7
Number of Decacorns
7

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
322M
Group Appearance index
0.91
Avg. company exit year
7
Avg. multiplicator
21.06
Strategy success index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
blackshark.ai 16 Nov 2023 Artificial Intelligence, Machine Learning, Computer Vision, Autonomous Vehicles, Smart Cities, Geospatial, Mapping Services Early Stage Venture 15M Steiermark, Graz, Austria
env0 29 Mar 2023 Software, Information Technology, Information Services, SaaS, Cloud Data Services Early Stage Venture 18M United States, California, Sunnyvale
How we get our data

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.