Saltigo GmbH

Total investments

1

Average round size

4M

Portfolio companies

1

Rounds per year

0.06

Areas of investment
BiotechnologyPharmaceuticalChemical

Summary

Saltigo GmbH is the famous Corporate Investor, which was founded in 2006. The company was established in Europe in Germany. The main office of represented Corporate Investor is situated in the Langenfeld.

The usual cause for the fund is to invest in rounds with 6 partakers. Despite the Saltigo GmbH, startups are often financed by Sirius Seedfonds, High-Tech Gru00fcnderfonds, Sirius Venture Partners. The meaningful sponsors for the fund in investment in the same round are Sirius Seedfonds, Roland Oetker, NRW.BANK.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - Germany. Among the most successful fund investment fields, there are Biotechnology, Pharmaceutical. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight evocatal.

The fund is constantly included in less than 2 investment rounds annually. The top activity for fund was in 2013. The common things for fund are deals in the range of 1 - 5 millions dollars.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.06
Investments by industry
  • Biotechnology (1)
  • Pharmaceutical (1)
  • Chemical (1)
Investments by region
  • Germany (1)
Peak activity year
2013

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Quantitative data

Avg. startup age at the time of investment
16
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
evocatal 24 Jun 2013 Biotechnology, Pharmaceutical, Chemical Early Stage Venture 4M Germany, Bavaria, Germany
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.