LafargeHolcim

Total investments

2

Average round size

5M

Portfolio companies

2

Rounds per year

0.04

Lead investments

1

Areas of investment
ManufacturingConstructionCleanTechIndustrialAdvanced MaterialsProduct ResearchWarehousing

Summary

In 1969 was created LafargeHolcim, which is appeared as Corporate Investor. The venture was found in Europe in Switzerland. The leading representative office of defined Corporate Investor is situated in the Jona.

The usual cause for the fund is to invest in rounds with 2-3 partakers. The meaningful sponsors for the fund in investment in the same round are Total Ventures, CDC Group, Bill Joy. In the next rounds fund is usually obtained by OGCI Climate Investments.

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in less than 2 deals every year. The important activity for fund was in 2016.

Among the most popular portfolio startups of the fund, we may highlight 14Trees, Solidia Technologies. For fund there is no match between the country of its foundation and the country of its the most frequent investments - Malawi. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Industrial, Warehousing.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.04
Investments by industry
  • Warehousing (1)
  • Construction (1)
  • Product Research (1)
  • Advanced Materials (1)
  • CleanTech (1)
  • Show 2 more
Investments by region
  • Malawi (1)
  • United States (1)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
11
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Solidia Technologies 09 Dec 2014 Manufacturing, CleanTech, Industrial, Advanced Materials, Product Research Late Stage Venture United States, New Jersey
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.