Globant Ventures
9
3M
8
1.50
1
0.11
- Stages of investment
- Areas of investment
Investor highlights
- Industry focus
- Stage focus
- Check size
- 500K — 1M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 9
- Lead investments
- 1
- Rounds per year
- 1.50
- Follow on index
- 0.11
- Investments by industry
- Software (5)
- Artificial Intelligence (5)
- Information Technology (3)
- Mobile Apps (2)
- Human Resources (2) Show 19 more
- Investments by region
- United States (4)
- Argentina (3)
- 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
- 6
- Group Appearance index
- 0.22
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 |
|---|---|---|---|---|---|
| Elsa | 12 Sep 2023 | E-Learning, Artificial Intelligence, Mobile Apps, Education, Language Learning | Late Stage Venture | 23M | United States, California, San Francisco |
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Earflo | Nov 20, 2025 | Medical Device, Medical Technology, Mobile Application | - | 415000 USD | |
| Zegenex | Nov 12, 2025 | Biotechnology, Chronic Wound Treatment, Wound Healing | - | 215000 USD | |
| Joint Ai | Sep 5, 2025 | AI-powered triage platform, Artificial Intelligence, Healthcare | - | 315000 USD | |
| Surface Design Solutions | Aug 27, 2025 | In-line Inspection Software, Manufacturing Software, Surface Optimization Technology | - | 365000 USD | |
| Conduit | Aug 14, 2025 | AI, food service, retail, scheduling, training, workforce management | - | 375000 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.