Oxford Early Investments

Total investments

1

Average round size

275K

Portfolio companies

1

Rounds per year

0.03

Stages of investment
Seed
Areas of investment
BiotechnologyMedical DeviceMedical

Summary

Oxford Early Investments appeared to be the VC, which was created in 1987. 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 Oxford.

Deals in the range of 100 thousands - 1 million dollars are the general things for fund. The fund is constantly included in less than 2 deals per year. The high activity for fund was in 2013.

Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Lightpoint Medical. We can highlight the next thriving fund investment areas, such as Medical, Medical Device. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United Kingdom.

We also calculated 1 valuable employee in our database.

The usual cause for the fund is to invest in rounds with 4 partakers. The meaningful sponsors for the fund in investment in the same round are Oxford Technology Management, Minerva Business Angel Network, Angels 5K. In the next rounds fund is usually obtained by SyndicateRoom, Ruffena Capital, Oxford Technology Management.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.03
Investments by industry
  • Medical Device (1)
  • Medical (1)
  • Biotechnology (1)
Investments by region
  • United Kingdom (1)
Peak activity year
2013

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Quantitative data

Avg. startup age at the time of investment
9
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Lightpoint Medical 25 Jun 2013 Biotechnology, Medical Device, Medical Seed 275K United Kingdom, England

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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.