Company Overview
Snapshot
Founded in June 2018 by Yariv Omer, Itay Goren, and Uri Zror, REIGO Investments operates with 11–50 employees. The company has raised $13 million across one funding round from Caesarea Medical Holdings. In March 2022, REIGO Investments secured $13 million in Series A funding.
Business overview
REIGO Investments provides a real estate investment platform specializing in lending hard money for first-charge senior loans within the US market. The company leverages data science to enhance performance, mitigate defaults, increase diversification, and accelerate underwriting processes. It operates within the Fintech & Insurtech sector, focusing on trading and investing, and utilizes artificial intelligence, machine learning, and big data analytics to serve financial services and real estate industries.
Strategic signal
In March 2022, REIGO Investments successfully closed a $13 million Series A funding round. This capital infusion validates the company's data science-driven approach to real estate debt and signals investor confidence in its model for improving performance and reducing risk in the US lending market, positioning REIGO for continued expansion and technological advancement.
Log in to access full profile ›Company Intelligence Q&A
- What is REIGO Investments' core business?
- REIGO Investments provides a real estate investment platform that focuses on lending hard money for first-charge senior loans in the US market, utilizing data science to optimize performance and reduce risk.
- When was REIGO Investments founded and by whom?
- REIGO Investments was founded in June 2018 by Yariv Omer, Itay Goren, and Uri Zror.
- How much capital has REIGO Investments raised?
- REIGO Investments has raised a total of $13 million in capital.
- What was a significant funding event for REIGO Investments?
- In March 2022, REIGO Investments secured a Series A funding round, raising $13 million from Caesarea Medical Holdings.
- What technology does REIGO Investments utilize?
- REIGO Investments employs data science, artificial intelligence, machine learning, and big data analytics to improve its lending operations, including performance, default reduction, diversification, and underwriting time.