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What is Oasis Loss Modeling Framework?

The Oasis Loss Modelling Framework (Oasis LMF) functions as an open-source catastrophe modeling platform dedicated to enhancing risk evaluation through its principles of transparency, innovative approaches, and high performance. Established as a not-for-profit organization, Oasis LMF offers numerous tools that facilitate the design, implementation, and management of catastrophe models, granting users the flexibility needed in their modeling techniques. It provides an intuitive web interface alongside an API designed for seamless integration with various systems, thereby improving interoperability and the overall user experience. Essential features such as Oasis ktools enable extensive execution of catastrophe models, while the Oasis Model Development Toolkit is instrumental in developing and testing new modeling methods. Emphasizing collaborative efforts, Oasis LMF encompasses a community ecosystem that includes more than 18 suppliers and upwards of 90 distinct models, fostering a diverse and rich modeling environment. This wealth of resources highlights the platform's commitment to assisting users in effectively navigating the intricacies of risk assessment within a continually changing landscape, ensuring they are well-equipped to handle future challenges. As a result, Oasis LMF not only enhances individual modeling capabilities but also contributes to the collective advancement of the catastrophe modeling industry.

What is Noldor?

Noldor introduces a groundbreaking method for data aggregation that remains neutral regarding specific datasets. By partnering effectively with Managing General Agents (MGAs) on diverse technological platforms, Noldor opens up remarkable prospects for MGAs, reinsurance brokers, and both carriers and reinsurers alike. The platform forges connections with leading global carriers, including Lloyd’s syndicates and Bermuda reinsurers. Its continuous underwriting engine, driven by artificial intelligence and machine learning, ensures that your business portfolio is consistently monitored, uncovering the key elements influencing loss ratios. Automating tasks such as bordereau reporting and contract management allows for a substantial reduction in back-office expenses. The implementation of sophisticated security protocols, encompassing bank-level encryption and API integrations, bolsters cyber risk management while ensuring compliance with regulations across various international landscapes. This high standard of security empowers you to assign responsibilities with confidence. Moreover, the platform offers daily operational transparency, keeping program underwriters just moments away from critical information. Additionally, the ability to retrieve program data via API not only supports the growth of capital providers but also does so without imposing significant costs, thus fostering an environment for sustainable development in the industry. This innovative setup ultimately strengthens the overall efficiency and effectiveness of the insurance ecosystem.

Media

Media

Integrations Supported

HurLoss

Integrations Supported

HurLoss

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

Oasis Loss Modelling Framework

Date Founded

2012

Company Location

United Kingdom

Company Website

oasislmf.org

Company Facts

Organization Name

Noldor

Company Location

United States

Company Website

www.noldor.com/solutions

Categories and Features

Categories and Features

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