Twenty Five Ventures
San Mateo, United States2
3M
2
0.67
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Rounds per year
- 0.67
- Investments by industry
- Gambling (1)
- Blockchain (1)
- Cryptocurrency (1)
- Sports (1)
- Mobile Apps (1) Show 3 more
- Investments by region
- United States (2)
- Peak activity year
- 2021
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
- 5
- Group Appearance index
- 1.00
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 |
|---|---|---|---|---|---|
| InspectionGo | 19 Jul 2023 | Consulting, Management Consulting, Home Services | Early Stage Venture | 5M | United States, West Virginia |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Founded by serial entrepreneurs Yuvan Sundrani and Jason Steinberg, Autosana is an agentic QA platform for iOS, Android, and web apps. | Feb 17, 2026 | AI, QA platform | - | 3200000 USD | Autosana |
| Aurva | Oct 9, 2025 | Access monitoring, AI observability, Banking, Fintech, SaaS | - | 2200000 USD | Sunnyvale, California |
| Lucio | Oct 8, 2025 | AI, AI-native legal workspace, Legal | - | 5000000 USD |  Bengaluru, Karnataka |
| CodeAnt AI | Aug 5, 2025 | AI Code Reviewer, Application Security Platform, Code Quality, Code Security, Development Workflow Integration | - | 2000000 USD | San Francisco, California |
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.