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What is Skyfora?

Skyfora delivers innovative, AI-powered weather intelligence solutions that empower organizations to evaluate, predict, and react to extreme weather conditions. Their platform includes a wide array of offerings, such as an advanced AI Weather Forecast engine that employs deep learning algorithms to merge vast atmospheric data with industry-specific knowledge, thereby optimizing operational effectiveness. They also offer tailored Weather Instruments, including lightweight sondes designed for upper-atmosphere data collection, alongside their Telecom GNSS Meteorology system, which transforms standard telecom base-station GNSS receivers into powerful networks that provide sensor-grade weather information, amplifying observation data accuracy by as much as 1000%. Skyfora serves a multitude of sectors, such as wind and solar energy to enhance production and forecasting capabilities, telecommunications leveraging their infrastructure for weather monitoring, as well as the insurance and risk management fields, district heating networks, marine and aviation sectors, media companies, and research institutions focused on weather services. By adopting this all-encompassing strategy, Skyfora establishes itself as a frontrunner in weather intelligence advancements, equipping clients to navigate the complexities introduced by climate fluctuations and ensuring they remain resilient in the face of unpredictable weather patterns. Their commitment to continuous innovation ensures that they stay at the forefront of industry developments.

What is IBM Weather?

IBM is focused on combining accurate weather data with advanced science and technology to improve the daily decisions of consumers and help businesses operate more effectively. Weather has a profound and universal impact, influencing people's emotions and behaviors in various ways. Each day, a multitude of decisions—such as choosing the right outfit or finding shelter during extreme weather—are shaped by prevailing weather conditions. Committed to its role as a vital resource, IBM strives to utilize its extensive knowledge, resources, and technological prowess to advance the realm of precise weather forecasting, allowing individuals to make well-informed choices. Moreover, weather plays a crucial role in business intelligence, affecting everything from flight paths for pilots seeking to avoid turbulence to the optimal timing for farmers to fertilize their crops and how energy companies manage outages. Access to reliable and accurate weather predictions is essential for everyone, as it can lead to improved results in daily life and across various sectors. By emphasizing the synergy of innovative technology and trustworthy data, we significantly enhance decision-making for both individuals and organizations, ultimately fostering better outcomes in all areas influenced by weather. This commitment not only ensures immediate benefits but also positions IBM as a leader in the future of weather-related advancements.

Media

Media

Integrations Supported

IBM Cloud
IBM Watson

Integrations Supported

IBM Cloud
IBM Watson

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Skyfora

Date Founded

2019

Company Location

Finland

Company Website

www.skyfora.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/weather

Categories and Features

Categories and Features

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