Clutch VC
5
5M
4
2.50
0.20
- Stages of investment
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
- Geo focus
- Check size
- 500K — 5M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 0
- Rounds per year
- 2.50
- Follow on index
- 0.20
- Investments by industry
- Information Technology (3)
- SaaS (3)
- Human Resources (2)
- Apps (2)
- Software (2) Show 5 more
- Investments by region
- United States (5)
- 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
- 5M
- Group Appearance index
- 1.00
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| DigitalEx | 04 Apr 2023 | Software, Information Technology | Seed | 2M | United States, South Carolina, Texas |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| QuoteWell | Aug 10, 2025 | AI, AI-backed Technology, Commercial Insurance, Insurance, Technology | - | 12000000 USD | |
| Lucky Energy | Mar 27, 2025 | Beverage, Energy Drink, Energy Drinks, Retail | - | 14200000 USD | |
| Lucky Energy | Sep 30, 2024 | Beverage, Energy Drink, Energy Drinks, Retail | Early stage | 11750000 USD | |
| Anonybit | Oct 17, 2023 | Data Protection, Decentralized Biometric Authentication, Decentralized Biometrics, Digital Security, Distributed Storage and Processing, Identity Management Solutions, Privacy-by-Design Identity Management | - | 3000000 USD | |
| Ledgebrook | Apr 25, 2023 | E&S MGA, Insurtech, InsurTech, Managing General Agent (MGA), MGA, Pricing and Risk Selection, Quoting Experience, Tech-enabled, Tech-enabled E&S MGA, Wholesale Brokers | - | 4600000 USD |
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.