BioTex Finance

Total investments

2

Average round size

7M

Portfolio companies

2

Exits

1

Areas of investment
BiotechnologySoftwareGeneticsMedicalClinical Trials

Summary

The company was established in North America in United States. The main office of represented Corporate Investor is situated in the Houston.

The typical case for the fund is to invest in rounds with 5 participants. The meaningful sponsors for the fund in investment in the same round are Techxas Ventures, Baylor College of Medicine, Pacific Rim Ventures. In the next rounds fund is usually obtained by Houston Angel Network.

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the most successful fund investment fields, there are Software, Medical. Among the various public portfolio startups of the fund, we may underline Bacterial Barcodes, Spectral Genomics

The common things for fund are deals in the range of 5 - 10 millions dollars. The top activity for fund was in 2003. The fund is generally included in less than 2 deals every year. The increased amount of exits for fund were in 2006.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • Biotechnology (2)
  • Medical (1)
  • Genetics (1)
  • Software (1)
  • Clinical Trials (1)
Investments by region
  • United States (2)
Peak activity year
2004

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Quantitative data

Avg. startup age at the time of investment
22
Group Appearance index
1.00
Avg. company exit year
7

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Bacterial Barcodes 12 Feb 2003 Biotechnology, Software, Clinical Trials Late Stage Venture 6M United States, Texas, Houston
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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.