Montis Capital

Total investments

2

Average round size

14M

Portfolio companies

2

Exits

1

Stages of investment
Late Stage Venture
Areas of investment
BiotechnologySoftwareMedicalPharmaceuticalHardware

Summary

The venture was found in North America in United States. The main department of described VC is located in the Boulder.

For fund there is a match between the location of its establishment and the land of its numerous investments - United States. We can highlight the next thriving fund investment areas, such as Analytics, Software. Among the various public portfolio startups of the fund, we may underline Datavail Besides, a startup needs to be aged 4-5 years to get the investment from the fund.

Besides them, we counted 1 critical employee of this fund in our database.

Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is generally included in less than 2 deals every year. The important activity for fund was in 2012.

The standard case for the fund is to invest in rounds with 3 partakers. Despite the Montis Capital, startups are often financed by Boulder Ventures. The meaningful sponsors for the fund in investment in the same round are Meritage Funds, Boulder Ventures. In the next rounds fund is usually obtained by Workhorse Capital, Tahosa Capital, ORIX Growth Capital.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • Hardware (1)
  • Software (1)
  • Pharmaceutical (1)
  • Biotechnology (1)
  • Medical (1)
Investments by region
  • United States (2)
Peak activity year
2012

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Quantitative data

Avg. startup age at the time of investment
17
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Datavail 06 Sep 2012 Software, Hardware Late Stage Venture 4M United States, Colorado

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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.