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ease
features
design
support

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Description

NVIDIA Earth-2 is an advanced platform designed for high-performance, AI-enhanced weather and climate forecasting, utilizing a combination of open-source models, libraries, and frameworks to facilitate professional-grade predictions without the necessity for traditional supercomputing resources. This innovative system offers comprehensive capabilities, starting from the ingestion of raw observational data and culminating in the generation of high-resolution weather and climate forecasts, which include localized storm predictions and medium-range forecasts that extend up to 15 days. By leveraging generative AI architectures, Earth-2 significantly accelerates computational processes while either maintaining or enhancing accuracy when compared to more conventional forecasting techniques. The Earth-2 suite features a range of models such as Atlas, which specializes in multi-variable medium-range forecasting, StormScope for short-term local weather predictions, HealDA for global data assimilation, CorrDiff for regional resolution downscaling, and FourCastNet 3 for efficient global forecasting. Furthermore, this platform not only enhances predictive capabilities but also democratizes access to advanced forecasting technologies, making them more readily available to a wider audience.

Description

In recent decades, extreme wildfire conditions have surged by 50% as a result of climate change, leading to a staggering $31 billion in property damages. Consequently, many insurance firms have chosen to withdraw coverage from homes and businesses in California, significantly impacting their profitability. Terrafuse's innovative wildfire AI risk scores assess the true likelihood of property combustion a year in advance. Our wildfire risk solution empowers insurance providers to underwrite a broader range of businesses while limiting non-renewals to properties deemed to have the highest risk of burning, and it allows them to price premiums according to actual risk levels. We enhance our models by analyzing over 50 interconnected environmental factors, such as building density, dead fuel moisture, and vegetation types, to evaluate loss severity over time. Additionally, we incorporate atmospheric physics into our models through sophisticated machine learning methodologies, ensuring a comprehensive understanding of wildfire risks. This approach not only aids in better risk assessment but also fosters a more resilient insurance market in the face of escalating wildfire threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/high-performance-computing/earth-2/

Vendor Details

Company Name

Terrafuse AI

Founded

2018

Country

United States

Website

www.terrafuse-ai.com

Product Features

Product Features

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

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Alternatives

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