Hestia Investments

Total investments

3

Average round size

4M

Portfolio companies

3

Areas of investment
BiotechnologyManufacturingPharmaceuticalTherapeuticsComputerBlockchain3D PrintingResidentialIndustrial EngineeringMechanical Engineering

Summary

The typical case for the fund is to invest in rounds with 7 participants. Despite the Hestia Investments, startups are often financed by National Institutes of Health. The meaningful sponsors for the fund in investment in the same round are Novartis, MINTS, InvestMichigan. In the next rounds fund is usually obtained by Invest Michigan, InFocus Capital Partners, Capital Community Angel Investors.

Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most popular fund investment industries, there are Pharmaceutical, Therapeutics. Among the most popular portfolio startups of the fund, we may highlight ONL Therapeutics.

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

Besides them, we counted 2 critical employees of this fund in our database.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Investments by industry
  • Biotechnology (1)
  • Pharmaceutical (1)
  • Therapeutics (1)
  • Mechanical Engineering (1)
  • 3D Printing (1)
  • Show 7 more
Investments by region
  • United States (2)
  • India (1)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Aikon 29 Sep 2022 Software, FinTech, Computer, Blockchain Early Stage Venture 10M United States, California, San Francisco
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.