Best Insurance Software for GitHub

Find and compare the best Insurance software for GitHub in 2026

Use the comparison tool below to compare the top Insurance software for GitHub on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Openkoda Reviews

    Openkoda

    Openkoda

    $4000/month
    Openkoda is a specialized application development platform tailored specifically for the insurance industry. It enables carriers, insurtech companies, managing general agents (MGAs), startups, and service providers to efficiently create comprehensive web applications, APIs, and internal tools much quicker than traditional development methods allow, while also ensuring that teams maintain complete control over their source code. Built on an open-source framework, the platform eliminates the risk of vendor lock-in. With a modular architecture and pre-existing templates, Openkoda speeds up essential insurance processes such as policy issuance, claims handling, endorsements, and renewals, all within containerized environments that can scale horizontally and do not impose per-user fees. Additionally, Openkoda comes equipped with industry-specific accelerators, including an AI-capable policy administration core, claims management workbenches, embedded insurance checkout components, and dashboards for underwriters that can access external risk information or activate machine learning models. This robust functionality positions Openkoda as a powerful asset for any organization looking to innovate within the insurance landscape.
  • 2
    Multimodal Reviews
    Multimodal specializes in the creation and management of secure, cohesive, and customized AI automation solutions specifically designed for intricate workflows within the financial sector. Our robust AI agents leverage proprietary company data to enhance accuracy and function collectively as your digital workforce. These advanced agents are capable of processing various documents, querying databases, powering chatbots, making informed decisions, and generating comprehensive reports. They excel at automating entire workflows and possess the ability to learn independently, continuously enhancing their performance. The Unstructured AI component acts as an Extract, Transform, Load (ETL) layer, adeptly handling complex, unstructured documents for applications like RAG or other AI-driven uses. Our Document AI is meticulously trained on your specific schema to efficiently extract, label, and organize data from diverse sources including loan applications, claims, and PDF reports. Additionally, our Conversational AI functions as a dedicated in-house chatbot, utilizing unstructured internal data to deliver effective support to both customers and employees. Furthermore, Database AI interfaces with company databases to respond to inquiries, interpret data sets, and offer valuable insights that can drive decision-making. This comprehensive suite of AI capabilities aims to streamline operations and enhance productivity across various financial services.
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