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What is Terrafuse AI?

In the past few decades, the frequency of extreme wildfire events has increased by 50% due to climate change, resulting in an alarming $31 billion in property damage. As a result, numerous insurance companies have opted to withdraw their coverage from properties in California, which has a considerable effect on their financial stability. Terrafuse has developed a groundbreaking wildfire AI risk assessment tool that predicts the likelihood of property fires a year in advance. This innovative solution enables insurance providers to broaden their coverage options while minimizing non-renewals to those properties identified as having the highest risk of combustion, and it allows them to set premiums based on actual risk assessments. Our models are refined by examining over 50 interconnected environmental factors, including building density, moisture levels in dead fuels, and types of vegetation, to determine potential loss severity over time. Furthermore, we integrate atmospheric physics into our assessments using advanced machine learning techniques, ensuring a thorough understanding of the factors contributing to wildfire risks. This holistic approach not only improves the accuracy of risk evaluations but also strengthens the resilience of the insurance market as it adapts to the growing challenges posed by wildfires. By equipping insurers with better tools, we aim to foster a safer and more sustainable environment for communities at risk.

What is Planalytics?

Planalytics employs advanced statistical methods combined with artificial intelligence (AI) and machine learning (ML) to scrutinize vast amounts of sales data while drawing on years of exceptional expertise in forecasting retail demand, which significantly boosts accuracy. A crucial factor for any retail business is the variable demand that can be swayed by weather changes. To tackle this challenge, Planalytics provides customized, localized demand adjustments that effectively evaluate how consumers respond to weather influences. Their analytics, proven in practical applications, are trusted by retail firms functioning in over 75,000 locations. Retailers can easily integrate Planalytics into their current software and AI/ML systems, offering a rapidly deployable enhancement that adds substantial value. This integration serves as an efficient way to tap into the potential of existing demand forecasting mechanisms, allowing businesses to enjoy the financial advantages linked to improved inventory management, marketing strategies, promotions, markdowns, and other critical areas. By leveraging these sophisticated analytics, retailers can greatly enhance both their operational efficiency and their ability to respond to market changes. Ultimately, this not only leads to better decision-making but also fosters a more agile approach to meeting customer demands.

Media

Media

Integrations Supported

Logility
Mi9 Retail

Integrations Supported

Logility
Mi9 Retail

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

Terrafuse AI

Date Founded

2018

Company Location

United States

Company Website

www.terrafuse-ai.com

Company Facts

Organization Name

Planalytics

Date Founded

1996

Company Location

United States

Company Website

www.planalytics.com/planalytics-predictive-demand-analytics/

Categories and 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

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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