Unicorn Growth Capital
New York, United States7
3M
7
2.33
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
- Geo focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 7
- Lead investments
- 0
- Rounds per year
- 2.33
- Investments by industry
- FinTech (5)
- Financial Services (5)
- Finance (2)
- Payments (1)
- Marketplace (1) Show 9 more
- Investments by region
- United States (4)
- Kenya (2)
- South Africa (1)
- Peak activity year
- 2022
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
- 3
- Avg. valuation at time of investment
- 2M
- Group Appearance index
- 0.86
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 |
|---|---|---|---|---|---|
| Fig Finance | 01 Jan 2023 | Venture Capital, Impact Investing, Financial Services, FinTech | Seed | United States, New York, New York |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Daytona , a NYC-based infrastructure company building programmatic, composable computers for AI agents | Jun 2, 2026 | AI, Infrastructure, Reinforcement Learning | Early stage | 24000000 USD | a NYC-based infrastructure company |
| Arize AI | Feb 20, 2025 | AI, AI observability, Automated monitoring, Automated monitoring and observability, Data quality checks, Drift detection, Generative AI, Integration with Azure AI, LLM evaluation, ML observability, Model performance management, Model validation | - | 70000000 USD | Berkeley, California |
| Stage 2 Capital | Jul 30, 2023 | B2B, B2B software, Data infrastructure, DevOps, GenAI, Payment processing | - | - | 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.