Excelsa Ventures

Total investments

2

Average round size

1M

Portfolio companies

2

Rounds per year

0.25

Lead investments

2

Stages of investment
SeedEarly Stage Venture
Areas of investment
Information TechnologySmall and Medium BusinessesChemicalNatural ResourcesClean EnergyNanotechnologyProduct ResearchChemical EngineeringEnvironmental Engineering

Summary

Excelsa Ventures appeared to be the VC, which was created in 2016. The fund was located in Europe if to be more exact in United Kingdom. The leading representative office of defined VC is situated in the London.

The typical case for the fund is to invest in rounds with 1 participant. Despite the Excelsa Ventures, startups are often financed by QUBIS, NetScientific, Johnson Matthey.

The high activity for fund was in 2017. The fund is generally included in less than 2 deals every year. Deals in the range of 1 - 5 millions dollars are the general things for fund.

We can highlight the next thriving fund investment areas, such as Clean Energy, Natural Resources. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United Kingdom. Among the most popular portfolio startups of the fund, we may highlight MOF Technologies.

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Investor highlights

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Investments analytics

Analytics

Total investments
2
Lead investments
2
Rounds per year
0.25
Investments by industry
  • Environmental Engineering (1)
  • Chemical (1)
  • Carbon Capture (1)
  • Information Technology (1)
  • Nanotechnology (1)
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Investments by region
  • United Kingdom (2)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
12
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
MOF Technologies 23 Jan 2017 Information Technology, Chemical, Environmental Engineering Early Stage Venture 2M Northern Ireland, Antrim, United Kingdom

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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.