36
69M
30
5
0.17
2
- Areas of investment
Investments analytics
Analytics
- Total investments
- 36
- Lead investments
- 5
- Exits
- 2
- Follow on index
- 0.17
- Investments by industry
- Software (11)
- Machine Learning (7)
- Retail (6)
- Retail Technology (6)
- SaaS (6) Show 86 more
- Investments by region
-
- United States (33)
- United Kingdom (1)
- Australia (1)
- Sweden (1)
- Peak activity year
- 2022
- Number of Unicorns
- 9
- Number of Decacorns
- 10
- Number of Minotaurs
- 4
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 8
- Avg. valuation at time of investment
- 1B
- Group Appearance index
- 0.78
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Amber | 15 Aug 2018 | FinTech, Finance, Cryptocurrency, Virtual Currency | Seed | 730K | Queensland, Brisbane City, Australia |
| Envoy | 30 Dec 2021 | Software, Human Resources, SaaS, Security, Facility Management, Office Administration | Late Stage Venture | 111M | United States, California, San Francisco |
| RapidSOS | 05 Mar 2024 | Mobile Apps, mHealth, Public Safety | Late Stage Venture | 75M | United States, New York, New York |
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.