Predict360
Predict360, by 360factors, is a risk and compliance management and intelligence platform that automates workflows and enhances reporting for banks, credit unions, financial services organizations, and insurance companies.
The SaaS platform integrates regulations and obligations, compliance management, risks, controls, KRIs, audits and assessments, policies and procedures, and training in a single cloud-based SaaS platform and delivers robust analytics and insights that empower customers to predict risks and streamline compliance.
Happy with your current GRC but lacking a true analytics and BI tool for intuitive executive and Board reports? Ask about Lumify360 from 360factors - a predictive analytics platform that can work alongside any GRC. Keep your process management workflows intact while providing stakeholders with the timely reports and dashboards they need.
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Macaw AMS
Macaw AMS can be used to sell Insurance. Macaw AMS can be used by brokers, MGAs or MGUs, Program Managers, and Lloyds Coverholders to automate their operations.
Macaw AMS was built with a customer-centric approach. It supports CRM, Sales and Underwriting. Customers, producers, and service providers can access self-service portals.
Macaw AMS has built-in Document Management and Task Management capabilities. It is equipped with adaptors that allow for integrated and in-flow services such as eSignature, Payments, OFAC checks, Mass Emailing, Computer Telephony, and Mass Emailing, using 3rd Party Services.
The data analytics part of Macaw AMS offers powerful data visualization with predefined dashboards, allowing users to easily upload datasets and view dynamic charts for clear, multi-dimensional insights. Interactive, real-time visualizations help uncover trends and insights, driving informed decision-making.
Macaw AMS is hosted on cloud and tested for cybersecurity. The database is relational, and the core components of the Java-based application are written in Java. Macaw AMS is capable of processing 500-1000 policies per day at its peak.
Macaw AMS is expected reduce per policy costs by 30%.
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Xceedance
Xceedance delivers a wide range of catastrophe and exposure management services aimed at improving risk evaluation and operational effectiveness for insurance companies. Handling more than 120,000 insured clients each day, their offerings include data standardization, risk evaluation, portfolio management, and technology applications driven by research. With an arsenal of over 50 automation tools and three dedicated platform frameworks for data cleansing, visualization, and model integration, Xceedance empowers insurers to make knowledgeable, data-centric choices. Their strategy fuses insurance knowledge with advanced analytics, streamlining workflows to minimize manual labor and enhance cost efficiency. Furthermore, Xceedance offers flexible, pay-per-use access to over 40 catastrophe models through their on-demand catastrophe modeling services, eliminating the necessity for client infrastructure or annual licensing fees. This unique service enables insurers to effectively manage their exposure while conducting predictive modeling with greater agility and precision. By leveraging these services, insurers can significantly improve their overall risk management capabilities.
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HurLoss
HurLoss represents ARA's advanced hurricane catastrophe model tailored for property insurers, reinsurers, brokers, and ILS managers to adeptly navigate risks in regions susceptible to hurricanes. Since its inception in 1998, HurLoss has served as the cornerstone for structural engineering standards in hurricane-affected states and has been integral to federal emergency management and mitigation strategies across the nation since 2003. The model provides a comprehensive event set that spans the entire North Atlantic basin, covering areas such as the U.S., the Caribbean, Bermuda, and portions of Canada, Mexico, and Central America. What sets HurLoss apart is its physics-driven approach to hurricane hazard modeling combined with engineering load and resistance analysis, grounded in fundamental principles and corroborated by claims data. Additionally, the model incorporates projections related to future climate conditions, enabling users to evaluate risks using both current and anticipated climatological data, including variables such as sea surface temperature and wind shear. This forward-thinking approach ensures that stakeholders are equipped with the most relevant information to make informed decisions regarding their hurricane risk management strategies.
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