Company Overview
Snapshot
Founded in October 2011 by Igal Zivoni, Meteo-Logic operates with 11–50 employees. The company has raised $17.2 million across three funding rounds from three investors. In February 2021, Meteo-Logic secured convertible debt funding from Clean Value Ventures.
Business overview
Meteo-Logic develops an energy asset trading platform that leverages global weather data and other big data sources with machine-learning algorithms. The company's core technology provides stability and predictability to the energy ecosystem, aiming to restructure energy markets. Operating within the Fintech & Insurtech sector, Meteo-Logic serves industries involved in energy, utilities, and agriculture, focusing on algo-trading and artificial intelligence applications for trading and investing.
Strategic signal
In March 2022, Eli Elazra invested millions of shekels into Meteo-Logic, signaling continued investor confidence in the company's weather-driven energy commodity algorithmic trading platform. This investment highlights the ongoing strategic interest in technologies that bring predictability and efficiency to energy markets, reinforcing Meteo-Logic's position in the intersection of fintech and energy tech.
Log in to access full profile ›Company Intelligence Q&A
- What is Meteo-Logic's primary focus?
- Meteo-Logic focuses on weather-driven energy commodity algorithmic trading, leveraging machine learning and big data to provide an energy asset trading platform.
- When was Meteo-Logic founded and by whom?
- Meteo-Logic was founded in October 2011 by Igal Zivoni.
- What was a significant funding event for Meteo-Logic?
- In February 2021, Meteo-Logic secured convertible debt funding from Clean Value Ventures.
- What was a notable development for Meteo-Logic in early 2022?
- In March 2022, Eli Elezra made a multi-million shekel investment in Meteo-Logic, highlighting the company's progress from a weather prediction algorithm to a power futures trading system.
- How does Meteo-Logic utilize technology in its operations?
- Meteo-Logic uses machine-learning algorithms and global weather data to power its trading AI engine, providing an algorithmic trading approach to energy commodity markets.