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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 One Concern?

One Concern has developed an all-encompassing Digital Twin that reveals hidden threats in both built and natural settings stemming from natural disasters, extreme weather events, and the impacts of climate change. This pioneering Digital Twin enables clients to pinpoint particular weaknesses in their structures, as well as the vulnerabilities of the external infrastructures they depend on. Acting as the cornerstone for our distinctive risk models, the Digital Twin aids in calculating the resilience quotient, thereby allowing businesses to forecast possible operational interruptions during extraordinary hazard occurrences. By providing critical insights into the immediate threats to structures caused by climate factors and severe weather, along with understanding the dependencies of these properties, One Concern delivers essential evaluations. Additionally, we assess the potential for downtime across a range of hazards and their return frequencies, incorporating the implications of climate change in scenarios projecting a 1.5 degrees Celsius increase in temperature. As a result, our comprehensive analysis empowers customers with a more profound comprehension of their risk landscape and the actionable measures needed to bolster their resilience. Furthermore, this approach fosters a proactive mindset in organizations, enabling them to prepare for and mitigate the impacts of future environmental challenges.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

One Concern

Date Founded

2015

Company Location

United States

Company Website

oneconcern.com

Categories and Features

Categories and Features

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