Diceus

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Diceus é uma empresa líder em desenvolvimento de produtos empresariais e serviços, com sede em Vilnius, Lituânia, e Kiev, Ucrânia.

Policy Administration System

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Um Sistema de Administração de Apólices modular projetado para apoiar seguradoras ao longo de todo o ciclo de vida da apólice — desde a configuração do produto até faturamento e sinistros. Construído em uma arquitetura modular, a plataforma permite que organizações de seguros implementem apenas os módulos de que precisam, eliminando as restrições dos sistemas monolíticos enquanto possibilitam uma implementação mais rápida, flexibilidade e escalabilidade. O sistema suporta configuração de produtos, emissão e renovações de apólices, endossos, faturamento e cobrança, gestão de sinistros, gestão de clientes e relatórios. Seu design API-first garante integração perfeita com sistemas de contabilidade, CRMs, data warehouses e outras plataformas de terceiros. Ferramentas de configuração de baixo código capacitam seguradoras a personalizar produtos, coberturas, limites, fluxos de trabalho, modelos de documentos, painéis e campos personalizados sem necessidade de suporte de desenvolvedores. Fluxos de trabalho automatizados agilizam operações, reduzem o esforço manual, melhoram a precisão e fornecem insights em tempo real sobre o desempenho operacional e financeiro, ajudando seguradoras a se adaptarem rapidamente, escalarem de forma eficiente e operarem com confiança.

AI-Powered Underwriting Workbench

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DICEUS AI Underwriting Workbench is a configurable insurance platform designed for insurers, MGAs, and underwriting teams to automate submission processing, improve risk selection, and accelerate decision-making across the underwriting lifecycle. The platform centralizes submissions, policy data, broker interactions, and risk indicators into a unified workspace, providing a complete 360° view of each account. By consolidating structured and unstructured data from emails, documents, and external sources, underwriters can make faster and more informed decisions without manual data handling. AI-powered capabilities enable automated intake of submissions using natural language processing, transforming unstructured documents into structured data. The system evaluates risk appetite, assigns triage and win probability scores, and delivers real-time recommendations to support underwriting decisions. Built-in anomaly detection, fraud indicators, and risk alerts help identify high-risk or inconsistent submissions early. The workbench automates key underwriting processes, including rating, pricing, and quote generation, using configurable business rules and AI-assisted models. Underwriters can significantly reduce manual effort, improve pricing accuracy, and shorten quote turnaround times. Conflict detection and risk overlap analysis ensure better portfolio control by identifying duplicate coverage and accumulation risks before binding. End-to-end workflow management allows teams to configure underwriting processes, enforce SLAs, and track tasks across the entire lifecycle. Complex cases can be escalated through referral workflows, while authority management ensures compliance with underwriting rules and approval structures. The platform also supports seamless collaboration with brokers and MGAs through integrated partner management capabilities, enabling real-time communication, submission tracking, and performance monitoring. Key capabilities include: - AI-powered submission intake and data extraction - Risk scoring (appetite, triage, win probability) and decision support - Automated rating, pricing, and quote generation (RPQ) - Workflow automation with SLA tracking and configurable rules - Clash detection and risk overlap analysis - Broker and MGA collaboration tools - Delegated authority and referral management - Portfolio monitoring and performance dashboards - Integration with external data providers and core systems By automating repetitive tasks and enhancing decision-making with AI, DICEUS AI Underwriting Workbench helps insurers reduce triage time by up to 70%, accelerate quoting by up to 50%, and improve underwriting accuracy while scaling operations efficiently.

Data Warehouse for Insurance Company

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DICEUS Insurance Data Warehouse is an enterprise-grade data platform designed for insurance companies to consolidate, manage, and analyze data across underwriting, claims, policy administration, finance, and customer systems within a single, governed environment. The platform creates a unified source of truth by integrating structured and unstructured data through real-time and batch ingestion, enabling insurers to access accurate, up-to-date information for reporting, analytics, and decision-making. Built on a multi-layer architecture (STAGE, ODS, CORE, MIS, ADM), the solution supports data validation, transformation, historical tracking, and advanced analytics, ensuring consistency, traceability, and high data quality across all business processes. Unlike traditional data warehouses, the platform combines strong data governance with flexible analytics capabilities, allowing insurers to standardize calculations for key metrics such as premiums, risk scores, and loss ratios while maintaining full control over data lineage and compliance requirements. Configurable KPI dashboards and prebuilt regulatory reporting modules enable faster insights and simplified compliance, while role-based access controls and audit trails ensure secure data management across teams. The solution is designed for scalability and can be deployed as a cloud-native, on-premise, or hybrid architecture, adapting to growing data volumes, new data sources, and evolving business needs without disrupting operations. Operational efficiency is further enhanced through automated data workflows, centralized monitoring, and integrated support tools that provide real-time visibility into data pipelines, system performance, and issue resolution. With support for modern data ecosystems and integration with BI tools, analytics platforms, and downstream systems, DICEUS Insurance Data Warehouse enables insurers to improve decision-making, optimize operations, enhance customer insights, and build a scalable foundation for advanced analytics and AI-driven initiatives.