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ease
features
design
support

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Description

Conventional weather forecasting often fails to accurately predict atmospheric events on the ground, leaving a significant gap in reliable information. Helios weather analytics effectively address this issue by providing rapid and precise local ground weather insights, allowing organizations that depend on location-specific data to make informed real-time decisions for their operations. Developed by L3Harris, the Helios environmental intelligence platform offers crucial details about hyperlocal weather conditions that are frequently overlooked by traditional weather services. Utilizing advanced Artificial Intelligence (AI), Helios identifies weather occurrences and their impacts on essential ground infrastructures through an extensive network of terrestrial cameras. This timely and specific information is vital for organizations whose decisions are influenced by changing weather conditions. The platform is built on a scalable cloud AI processing system that facilitates effective imagery management, while also offering an open API and web application for seamless content delivery. By ensuring access to hyperlocal weather data, Helios empowers users to better protect their interests and respond swiftly to environmental changes.

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

BleuPage

Integrations

BleuPage

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

L3Harris

Founded

2020

Country

United States

Website

www.l3harris.com/all-capabilities/helios

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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