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Description
UrbanStat offers an extensive suite of over 20 modules designed to enhance portfolio management, streamline underwriting processes, improve risk selection, and refine pricing strategies with the aid of geospatial data and machine learning techniques. Ranging from comprehensive portfolio analytics to detailed transaction-level assessments, UrbanStat serves as a comprehensive platform for property underwriting applicable to both personal and commercial lines. With more than 30 data points available for each property across the United States, Canada, and Europe, users can effectively manage their portfolios on a single, cohesive platform that spans international borders. The integration process with UrbanStat can be accomplished in as little as four weeks, accommodating various methods including database connections, file system interactions, or modern API integrations. Ready-made integrations with platforms like Duck Creek, OneShield, and Guidewire facilitate a seamless transition to our fully automated mode. Users can establish their exposure alerts one time and rely on our advanced technology to monitor and notify them of any regions experiencing increased exposure levels, ensuring they stay informed and in control. This proactive approach allows for timely adjustments to risk management strategies, ultimately promoting more effective decision-making and enhanced portfolio performance.
Description
Urbiverse enhances urban mobility and logistics decision-making through advanced AI simulations, synthetic data solutions, and real-time scenario analysis, along with optimized fleet sizing and infrastructure strategies. This platform allows operators to predict demand by analyzing historical data, significant events, seasonal variations, and real-time metrics; it also enables the simulation of various scenarios to assess the effects of new ride-sharing, bike-sharing, cargo-bike, or fleet-size initiatives on factors like traffic flow, user satisfaction, environmental objectives, profitability, and overall costs. Additionally, it provides insights into the financial consequences under different tender conditions, fine-tunes fleet distribution, manages operations effectively, and organizes micromobility parking. By integrating both real-time and historical data, Urbiverse aids in the efficient allocation of resources across various vehicle categories, facilitating a shift from reliance on assumptions to informed, data-driven choices for mobility operators and urban planners. Moreover, it processes millions of trips to support infrastructure development, allowing urban fleet planners to rigorously test various scenarios and optimize their strategies. This comprehensive approach ultimately leads to smarter urban mobility solutions that can adapt to changing demands and improve overall efficiency in the transportation sector.
API Access
Has API
API Access
Has API
Integrations
Duck Creek Suite
OneShield Policy
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
UrbanStat
Founded
2013
Country
United States
Website
www.urbanstat.com
Vendor Details
Company Name
Urbiverse
Country
Italy
Website
getswitch.io/urbiverse/
Product Features
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
