Tikehau Capital
Private equity, Venture Debt, Other
Active
Paris, France
142
30M
129
7.10
40
0.09
57
- Stages of investment
- Areas of investment
Investor highlights
- Industry focus
- Geo focus
- Check size
- 11M — 218M
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Investments analytics
Last fund
- Fund size
- USD 300000000
- Fund raised date
- 2023-02-06
Analytics
- Total investments
- 142
- Lead investments
- 40
- Exits
- 57
- Rounds per year
- 7.10
- Follow on index
- 0.09
- Investments by industry
- Manufacturing (31)
- Software (20)
- Information Technology (16)
- Health Care (15)
- Financial Services (10) Show 150 more
- Investments by region
-
- France (90)
- Belgium (4)
- United Kingdom (8)
- Australia (2)
- Spain (6) Show 11 more
- Peak activity year
- 2018
- Number of Unicorns
- 5
- Number of Decacorns
- 5
- Number of Minotaurs
- 1
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Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 35
- Avg. valuation at time of investment
- 90M
- Group Appearance index
- 0.27
- Avg. company exit year
- 39
- Avg. multiplicator
- 9.53
- Strategy success index
- 0.60
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Egerie Software | 24 Jan 2023 | Software, Cyber Security, Risk Management | Early Stage Venture | 35M | Provence-Alpes-Côte d'Azur, Toulon, France |
| Main Street Health | 08 Oct 2023 | Health Care | Early Stage Venture | 315M | United States, Nashville, Tennessee |
| MK Decision | 03 Oct 2018 | Financial Services, FinTech, Banking, Credit, Credit Bureau, Lending, Credit Cards, Web Apps, Risk Management | Seed | 938K | United States, California, San Diego |
| OBVIOHEALTH | 03 Aug 2017 | Health Care, Health Diagnostics | Seed | 2M | Central, Singapore, Singapore |
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.