ReFED
7
212K
7
0.78
2
- Areas of investment
Investor highlights
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 7
- Lead investments
- 2
- Rounds per year
- 0.78
- Investments by industry
- Non Profit (2)
- Food Processing (2)
- Food and Beverage (2)
- Recycling (1)
- Higher Education (1) Show 10 more
- Investments by region
- Canada (1)
- United States (5)
- Peak activity year
- 2023
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
- 31
- Avg. valuation at time of investment
- 557K
- Group Appearance index
- 0.14
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 |
|---|---|---|---|---|---|
| Co-founded by Will Pearce and Ed Boulle in 2018, Orbital is an AI platform provider purpose-built for real estate law, supporting the transaction process for the asset class. | Jan 26, 2026 | AI, Real Estate Law | - | 60000000 USD | UK-based provider of an AI platform for real estate law, a NYC- and London |
| Orbital Witness | May 19, 2023 | AI, Commercial Real Estate, LegalTech, Machine Learning | Early stage | 7500000 GBP |  London, England |
| Florence | Mar 30, 2023 | Consumer-Grade Patient Experiences, Healthcare, Healthcare Enablement Software, Healthcare Journey Tracking, Health Tech, Software Platform, Workflow Automation | Early stage | 20000000 USD |  New York |
| Properly | Nov 8, 2022 | Products and Services, Real Estate Brokerage, Real Estate Tech | - | 36000000 CAD | .svg) Toronto, Ontario |
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.