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Average Ratings 0 Ratings

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ease
features
design
support

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Description

At Dynamhex, we eliminate uncertainty in your energy transition by developing fair and actionable plans for reducing carbon emissions. Our platform for carbon accounting and emissions management enables you to accurately measure, report, and decrease the carbon output of your operations. By utilizing localized data, we tackle climate change head-on, employing spatial data, mathematical modeling, and user-friendly analytics to make the issue more relevant and actionable at the community level. This allows cities and their residents to access tailored solutions for moving towards a low-carbon future. We transform your corporate climate strategies and impact assessments into digital formats, bridging the gap between planning and implementation by integrating all stakeholders involved. If you're feeling overwhelmed by the challenges posed by climate change and unsure of how to contribute, we can assist you in measuring your impact and taking meaningful actions that benefit you, your community, and the environment. It's essential not to let your carbon offsets become ineffective; work with us to ensure they create real change. Together, we can build a sustainable future that resonates on a personal and local scale.

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

Dynamhex

Founded

2018

Country

United States

Website

dynmhx.io

Vendor Details

Company Name

Terrafuse AI

Founded

2018

Country

United States

Website

www.terrafuse-ai.com

Product Features

Emissions Management

Allowance Management
Automatic CO2 Calculation
Emission Inventory
Emission Reduction Planning
Emissions Monitoring
Emissions Trading
Frequency-Based Tasks
Permit Level Maintenance
Risk Management

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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