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Meteo-Logic

Meteo-Logic

Financial ServicesFlag of ILDrom HaSharon Regional Council, Center District, Israel21-50 Employees

Company overview

HeadquartersDrom HaSharon Regional Council, Center District, Israel
Phone number+97297426755
Website
NAICS52
SIC621
Keywords
Big Data, Commodity Trading, Data Analytics, Machine Learning, Algo Trading, Energy Market, Power Market, Weather Prediction, Comodity Algo-Trading, Power Trading
Founded2011
Employees21-50
Socials

Key Contact at Meteo-Logic

Flag of IL

Igal Zivoni

Founder And Ceo

Meteo-Logic Email Formats

Meteo-Logic uses 2 email formats. The most common is {first name} (e.g., john@meteo-logic.com), used 66.7% of the time.

FormatExamplePercentage
{first name}
john@meteo-logic.com
66.7%
{first initial}
j@meteo-logic.com
33.3%

About Meteo-Logic

Meteo-logic’s mission is to bring unique algo-trading and weather prediction capabilities into the energy commodity market, in order to leverage its enormous financial opportunities. Our expertise is quantifiable weather derivatives prediction based on state-of-the-art, big data and machine learning technologies. As weather is inherently but inextricably linked to energy supply and demand – both for renewable energy and other traditional energy assets- our adaptive, self-learning algorithms, processing millions of records of price history and synoptic data, learn how to crack down on these links and produce highly accurate price predictions. With global weather’s obvious impact on energy assets price fluctuations, our price prediction provides an unfair advantage in energy commodity trading. Because our solution is location-agnostic, Meteo-Logic technology is applicable for various exchanges and asset classes around the world, reaching a huge market size that opens room for big algo-trading plays. Meteo–Logic algorithms rely on more than a decade of experience in the field of high-frequency financial algo-trading, with exceptional proven performance and business success. Led by the core team that developed the original trading technology over years, the company has the confidence of further improving its trading machine to exceptional performance in all of its markets.

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Meteo-Logic revenue & valuation

Annual revenue$1,967,765
Revenue per employee$86,000
Estimated valuation?$6,300,000
Total funding$3,000,000

Employees by Management Level

Total employees: 21-50

Seniority

Employees

Entry
Head
C-Suite

Employees by Department

Meteo-Logic has 13 employees across 7 departments.

Departments

Number of employees

Funding Data

Explore Meteo-Logic's funding history, including investment rounds, total capital raised, and key backers.

Funding Date
Round
Amount
Link to Article
2013-10-034$3,000,000

Funding Insights

$3,000,000

Total funding amount

$3,000,000

Most recent funding amount

1

Number of funding rounds

Meteo-Logic Tech Stack

Discover the technologies and tools that power Meteo-Logic's digital infrastructure, from frameworks to analytics platforms.

Astra

Astra

WordPress themes

jQuery UI

jQuery UI

JavaScript libraries

Elementor

Elementor

Page builders

MonsterInsights

MonsterInsights

Analytics

jQuery Migrate

jQuery Migrate

JavaScript libraries

Cloudflare

Cloudflare

CDN

Twitter Emoji

Font scripts

jQuery

jQuery

JavaScript libraries

LiteSpeed

LiteSpeed

Web servers

PHP

PHP

Programming languages

WordPress

WordPress

Blogs

Google Analytics

Google Analytics

Analytics

Frequently asked questions

Meteo-Logic is located in Drom HaSharon Regional Council, Center District, IL.
You can reach Meteo-Logic at +97297426755.
Meteo-Logic was founded in 2011, making it 15 years old. The company has established itself as a significant player in its industry over this time.
Meteo-Logic has approximately 21-50 employees. The company continues to grow its workforce to support its business operations and expansion.
Meteo-Logic has raised a total of $3,000,000 across 1 funding rounds. This investment has helped the company grow and expand its operations.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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